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1,435 results on '"Tadokoro, Satoshi"'

1. Reproduction of High-frequency Vibration Experience by a Sensory Equivalent Conversion Method for the Standard Haptic SDK of Meta Quest 3

Author

Igarashi, Daito, Konyo, Masashi, and Tadokoro, Satoshi

Subjects
Computer Science - Human-Computer Interaction
Abstract

In recent years, there has been a growing demand for realistic haptic experiences in VR. This study employs the Intensity Segment Modulation (ISM) method to convert high-frequency vibrations into low-frequency amplitude-modulated waves on VR devices. We verified the generation of high-immersion vibration stimuli synchronized with audio. Additionally, we compared the perception of ISM-converted vibrations between VR devices and other devices to evaluate the effectiveness of ISM in VR environments. A demonstration on the Meta Quest 3 was also developed, allowing users to experience the tactile sensation of handheld fireworks., Comment: Part of proceedings of 6th International Conference AsiaHaptics 2024

Published
2024

2. Out-of-body Localization of Virtual Vibration Sources Using a Limited Numbers of Transducers on the Torso

Author

Ohara, Gen, Konyo, Masashi, and Tadokoro, Satoshi

Subjects
Computer Science - Human-Computer Interaction
Abstract

Stereohaptic vibration is an innovative vibrotactile technology that extends the conventional tactile localization to the surrounding space, representing a virtual vibration source in the external environment. Previously, we have developed displays on the forearms and soles. Today, we present a demonstration of a new jacket-type device, which enables localization at any position around the body by arranging multiple vibrators along the torso centered on the midline. In our demonstration, you can experience the footsteps and roars of a inosaur walking around you, and it provides an experience that is as if you are in a fantasy movie., Comment: Part of proceedings of 6th International Conference AsiaHaptics 2024

Published
2024

3. Conveying Surroundings Information of a Robot End-Effector by Adjusting Controller Button Stiffness

Author

Campos, Noel Alejandro Avila, Konyo, Masashi, Bezerra, Ranulfo, Kojima, Shotaro, and Tadokoro, Satoshi

Subjects
Computer Science - Robotics, Computer Science - Human-Computer Interaction
Abstract

This study addresses the challenge of low dexterity in teleoperation tasks caused by limited sensory feedback and visual occlusion. We propose a novel approach that integrates haptic feedback into teleoperation using the adaptive triggers of a commercially available DualSense controller. By adjusting button stiffness based on the proximity of objects to the robot's end effector, the system provides intuitive, real-time feedback to the operator. To achieve this, the effective volume of the end effector is virtually expanded, allowing the system to predict interactions by calculating overlap with nearby objects. This predictive capability is independent of the user's intent or the robot's speed, enhancing the operator's situational awareness without requiring complex pre-programmed behaviors. The stiffness of the adaptive triggers is adjusted in proportion to this overlapping volume, effectively conveying spatial proximity and movement cues through an "one degree of freedom" haptic feedback mechanism. Compared to existing solutions, this method reduces hardware requirements and computational complexity by using a geometric simplification approach, enabling efficient operation with minimal processing demands. Simulation results demonstrate that the proposed system reduces collision risk and improves user performance, offering an intuitive, precise, and safe teleoperation experience despite real-world uncertainties and communication delays., Comment: Part of proceedings of 6th International Conference AsiaHaptics 2024

Published
2024

4. Vibrotactile Feedback for a Remote Operated Robot with Noise Subtraction Based on Perceived Intensity

Author

Yamawaki, Ryoma, Shimamura, Takeru, Campos, Noel Alejandro Avila, Konyo, Masashi, Kojima, Shotaro, Bezerra, Ranulfo, and Tadokoro, Satoshi

Subjects
Computer Science - Robotics, Computer Science - Human-Computer Interaction
Abstract

There is a growing demand for teleoperated robots. This paper presents a novel method for reducing vibration noise generated by robot's own motion, which can disrupt the quality of tactile feedback for teleoperated robots. Our approach focuses on perceived intensity, the amount of how humans experience vibration, to create a noise filter that aligns with human perceptual characteristics. This system effectively subtracts ego-noise while preserving the essential tactile signals, ensuring more accurate and reliable haptic feedback for operators. This method offers a refined solution to the challenge of maintaining high-quality tactile feedback in teleoperated systems., Comment: Part of proceedings of 6th International Conference AsiaHaptics 2024

Published
2024

5. Presenting the Sense of Effort through Vibration Based on Force Estimated by Inverse Dynamics in Videos

Author

Akai, Ryoma, Konyo, Masashi, and Tadokoro, Satoshi

Subjects
Computer Science - Human-Computer Interaction
Abstract

We present the sense of effort through vibration to help the video viewer understand how the person in the video moves the body. We suppose sense of effort is related to force, so we generate vibration based on force and present the sense of effort through the vibration. We use perceived intensity to make sense of effort proportional to vibration. In our demonstration, you can experience vibration while watching a video. We can create vibration on the spot, so you can experience vibration made from a video taken on the spot., Comment: Part of proceedings of 6th International Conference AsiaHaptics 2024

Published
2024

6. Skill Transfer System that Visualizes and Presents Tactile Information in an AR Environment

Author

Nida, Takaya, Waga, Masamune, Hamada, Yuta, Konyo, Masashi, Nakaya, Yushi, Pandey, Shubhamkumar, and Tadokoro, Satoshi

Subjects
Computer Science - Human-Computer Interaction
Abstract

In recent years, the lack of successors for traditional skills has become an issue. To solve this problem, we propose a skill transfer system that presents tactile information in spatial tasks as a color map on an AR space. We believe that providing the operator with feedback of the force and tactile information during the work is useful for learning skills that require time to master. Furthermore, by following the operator's hand and presenting tactile information, we expect to accelerate the learning of skills by not only presenting tactile information as a physical sensation, but also by making the operator associate tactile information with position., Comment: Part of proceedings of 6th International Conference AsiaHaptics 2024

Published
2024

7. Region of Interest Loss for Anonymizing Learned Image Compression

Author

Liebender, Christoph, Bezerra, Ranulfo, Ohno, Kazunori, and Tadokoro, Satoshi

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Cryptography and Security, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The use of AI in public spaces continually raises concerns about privacy and the protection of sensitive data. An example is the deployment of detection and recognition methods on humans, where images are provided by surveillance cameras. This results in the acquisition of great amounts of sensitive data, since the capture and transmission of images taken by such cameras happens unaltered, for them to be received by a server on the network. However, many applications do not explicitly require the identity of a given person in a scene; An anonymized representation containing information of the person's position while preserving the context of them in the scene suffices. We show how using a customized loss function on region of interests (ROI) can achieve sufficient anonymization such that human faces become unrecognizable while persons are kept detectable, by training an end-to-end optimized autoencoder for learned image compression that utilizes the flexibility of the learned analysis and reconstruction transforms for the task of mutating parts of the compression result. This approach enables compression and anonymization in one step on the capture device, instead of transmitting sensitive, nonanonymized data over the network. Additionally, we evaluate how this anonymization impacts the average precision of pre-trained foundation models on detecting faces (MTCNN) and humans (YOLOv8) in comparison to non-ANN based methods, while considering compression rate and latency., Comment: Accepted to IEEE CASE 2024

Published
2024

8. Inflated Bendable Eversion Cantilever Mechanism with Inner Skeleton for Increased Payload Holding

Author

Takahashi, Tomoya, Watanabe, Masahiro, Tadakuma, Kenjiro, Saiki, Naoto, Konyo, Kazuki Abe Masashi, and Tadokoro, Satoshi

Subjects
Computer Science - Robotics
Abstract

Inflatable structures used in soft robotics applications exhibit unique characteristics. In particular, the tip-extension structure, which grows from the tip, can grow without friction against the environment. However, these inflatable structures are inferior to rigid mechanisms in terms of their load-bearing capacity. The stiffness of the tip-extension structure can be increased by pressurization, but the structure cannot maintain its curved shape and compliance. In this study, we proposed a mechanism that combines a skeleton structure consisting of multi-joint links with functions to increase rigidity while keeping low pressure and realizing the functions of bending and shape fixation. We devised a design method for rigid articulated links and combined it with a membrane structure that utilizes the advantages of the tip-extension structure. The experimental results show that the payload of the designed structure increases compared to that of the membrane-only structure. The findings of this research can be applied to long robots that can be extended in the air without drooping and to mechanisms that can wrap around the human body., Comment: This article is consist of 8 pages and 15 figures

Published
2022

9. Hundred Drones Land in a Minute

Author

Fujikura, Daiki, Tadakuma, Kenjiro, Watanabe, Masahiro, Okada, Yoshito, Ohno, Kazunori, and Tadokoro, Satoshi

Subjects
Computer Science - Robotics
Abstract

Currently, drone research and development has received significant attention worldwide. Particularly, delivery services employ drones as it is a viable method to improve delivery efficiency by using a several unmanned drones. Research has been conducted to realize complete automation of drone control for such services. However, regarding the takeoff and landing port of the drones, conventional methods have focused on the landing operation of a single drone, and the continuous landing of multiple drones has not been realized. To address this issue, we propose a completely novel port system, "EAGLES Port," that allows several drones to continuously land and takeoff in a short time. Experiments verified that the landing time efficiency of the proposed port is ideally 7.5 times higher than that of conventional vertical landing systems. Moreover, the system can tolerate 270 mm of horizontal positional error, +-30 deg of angular error in the drone's approach (+-40 deg with the proposed gate mechanism), and up to 1.9 m/s of drone's approach speed. This technology significantly contributes to the scalability of drone usage. Therefore, it is critical for the development of a future drone port for the landing of automated drone swarms., Comment: 8 pages, 12 figures

Published
2020

10. Retraction Mechanism of Soft Torus Robot with a Hydrostatic Skeleton

Author

Takahashi, Tomoya, Watanabe, Masahiro, Tadakuma, Kenjiro, Konyo, Masashi, and Tadokoro, Satoshi

Subjects
Computer Science - Robotics
Abstract

Soft robots have attracted much attention in recent years owing to their high adaptability. Long articulated soft robots enable diverse operations, and tip-extending robots that navigate their environment through growth are highly effective in robotic search applications. Because the robot membrane extends from the tip, these robots can lengthen without friction from the environment. However, the flexibility of the membrane inhibits tip retraction. Two methods have been proposed to resolve this issue; increasing the pressure of the internal fluid to reinforce rigidity, and mounting an actuator at the tip. The disadvantage of the former is that the increase is limited by the membrane pressure resistance, while the second method adds to the robot complexity. In this paper, we present a tip-retraction mechanism without bending motion that takes advantage of the friction from the external environment. Water is used as the internal fluid to increase ground pressure with the environment. We explore the failure pattern of the retraction motion and propose plausible solutions by using hydrostatic skeleton robot. Additionally, we develop a prototype robot that successfully retracts by using the proposed methodology. Our solution can contribute to the advancement of mechanical design in the soft robotics field with applications to soft snakes and manipulators., Comment: 8 pages, 10 figures

Published
2020

11. Improvement of Discrimination of Haptic Motion Experience by Reproducing Multi-point Spatial Distribution of Propagated Vibrations at the Wrist

Author

Yamaguchi, Kosuke, Waga, Masamune, Konyo, Masashi, Tadokoro, Satoshi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Dangxiao, editor, Song, Aiguo, editor, Liu, Qian, editor, Kyung, Ki-Uk, editor, Konyo, Masashi, editor, Kajimoto, Hiroyuki, editor, Chen, Lihan, editor, and Ryu, Jee-Hwan, editor

Published
2023
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12. Internally-Balanced Magnetic Mechanisms Using Magnetic Spring for Producing Large Amplified Clamping Force

Author

Shimizu, Tori, Tadakuma, Kenjiro, Watanabe, Masahiro, Takane, Eri, Konyo, Masashi, and Tadokoro, Satoshi

Subjects
Computer Science - Robotics
Abstract

To detach a permanent magnet with a controlled force much smaller than its original attractive force, the Internally-Balanced Magnetic Unit (IB Magnet) was invented and has been applied to magnetic devices such as wall-climbing robots, ceil-dangling drones, and modular swarm robots. In contrast to its drastic reduction rate on the control force, the IB Magnet has two major problems on its nonlinear spring which cancels out the internal force on the magnet: complicated design procedure and trade-off relationship between balancing precision and mechanism volume. This paper proposes a principle of a new balancing method for the IB Magnet which uses a like-pole pair of magnets as a magnetic spring, whose repulsive force ideally equals the attractive force of an unlike-pole pair exactly. To verify the proposed principle, the authors realized a prototype model of the IB Magnet using magnetic spring and verified through experiments its reduction rate is comparable to those of conventional IB Magnets. Moreover, the authors discussed and realized a robotic clamp as an application example containing proposed IB Magnets as its internal mechanism., Comment: 7 pages, 17 figures

Published
2019

13. Radial-Layer Jamming Mechanism for String Configuration

Author

Mukaide, Rio, Tadakuma, Kenjiro, Watanabe, Masahiro, ozawa, Yu, Takahashi, Tomoya, Konyo, Masashi, and Tadokoro, Satoshi

Subjects
Computer Science - Robotics
Abstract

Grippers can be attached to objects in a rigid mode, and they are therefore used in various applications, for example granular jamming gripper. This paper introduces a cutting-edge radial layer jamming mechanism with is tunable stiffness, which is critical for the development of grippers. The layer jamming mechanism generates friction between the layers of multi cylindrical walls by pulling wire. This paper describes the principles of three types of proposed tendon-driven jamming mechanism, in addition to their prototypes of string configuration and the experiments conducted on the holding torques of their joints. Due to the string configuration, the surface and three-dimensional (3D) shape. This mechanism can be implemented in various applications., Comment: 7 pages, 11 figures

Published
2019

14. Floating Displacement-Force Conversion Mechanism as a Robotic Mechanism

Author

Tadakuma, Kenjiro, Shimizu, Tori, Hayashi, Sosuke, Takane, Eri, Watanabe, Masahiro, Konyo, Masashi, and Tadokoro, Satoshi

Subjects
Computer Science - Robotics
Abstract

To attach and detach permanent magnets with an operation force smaller than their attractive force, Internally-Balanced Magnetic Unit (IB Magnet) has been developed. The unit utilizes a nonlinear spring with an inverse characteristic of magnetic attraction to produce a balancing force for canceling the internal force applied on the magnet. This paper extends the concept of shifting the equilibrium point of a system with a small operation force to linear systems such as conventional springs. Aligning a linear system and its inverse characteristic spring in series enables a mechanism to convert displacement into force generated by a spring with theoretically zero operation force. To verify the proposed principle, the authors realized a prototype model of inverse characteristic linear spring with an uncircular pulley. Experiments showed that the generating force of a linear spring can be controlled by a small and steady operation force., Comment: 6 pages, 18 figures

Published
2019

19. User Interfaces for Human-Robot Interaction in Field Robotics

Author

Murphy, Robin R., Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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20. Field Evaluation and Safety Management of ImPACT Tough Robotics Challenge

Author

Kimura, Tetsuya, Takamori, Toshi, Sheh, Raymond, Murao, Yoshio, Igarashi, Hiroki, Hasumi, Yudai, Houshi, Toshiro, Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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21. WAREC-1 – A Four-Limbed Robot with Advanced Locomotion and Manipulation Capabilities

Author

Hashimoto, Kenji, Matsuzawa, Takashi, Sun, Xiao, Fujiwara, Tomofumi, Wang, Xixun, Konishi, Yasuaki, Sato, Noritaka, Endo, Takahiro, Matsuno, Fumitoshi, Kubota, Naoyuki, Toda, Yuichiro, Takesue, Naoyuki, Wada, Kazuyoshi, Mouri, Tetsuya, Kawasaki, Haruhisa, Namiki, Akio, Liu, Yang, Takanishi, Atsuo, Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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22. New Hydraulic Components for Tough Robots

Author

Suzumori, Koichi, Nabae, Hiroyuki, Sakurai, Ryo, Kanda, Takefumi, Hyon, Sang-Ho, Ide, Tohru, Hioki, Kiyohiro, Ito, Kazu, Inoue, Kiyoshi, Hirota, Yoshiharu, Yamamoto, Akina, Ukida, Takahiro, Morita, Ryusuke, Hemmi, Morizo, Ohno, Shingo, Seno, Norihisa, Osaki, Hayato, Ofuji, Shoki, Mizui, Harutsugu, Taniai, Yuki, Tanimoto, Sumihito, Asao, Shota, Faudzi, Ahmad Athif Mohd, Yamamoto, Yohta, Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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23. Simulator for Disaster Response Robotics

Author

Kanehiro, Fumio, Nakaoka, Shin’ichiro, Sugihara, Tomomichi, Wakisaka, Naoki, Ishigami, Genya, Ozaki, Shingo, Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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24. Development of Tough Snake Robot Systems

Author

Matsuno, Fumitoshi, Kamegawa, Tetsushi, Qi, Wei, Takemori, Tatsuya, Tanaka, Motoyasu, Nakajima, Mizuki, Tadakuma, Kenjiro, Fujita, Masahiro, Suzuki, Yosuke, Itoyama, Katsutoshi, Okuno, Hiroshi G., Bando, Yoshiaki, Fujiwara, Tomofumi, Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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25. Cyber-Enhanced Rescue Canine

Author

Ohno, Kazunori, Hamada, Ryunosuke, Hoshi, Tatsuya, Nishinoma, Hiroyuki, Yamaguchi, Shumpei, Arnold, Solvi, Yamazaki, Kimitoshi, Kikusui, Takefumi, Matsubara, Satoko, Nagasawa, Miho, Kubo, Takatomi, Nakahara, Eri, Maruno, Yuki, Ikeda, Kazushi, Yamakawa, Toshitaka, Tokuyama, Takeshi, Shinohara, Ayumi, Yoshinaka, Ryo, Hendrian, Diptarama, Chubachi, Kaizaburo, Kobayashi, Satoshi, Nakashima, Katsuhito, Naganuma, Hiroaki, Wakimoto, Ryu, Ishikawa, Shu, Miura, Tatsuki, Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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26. Dual-Arm Construction Robot with Remote-Control Function

Author

Yoshinada, Hiroshi, Kurashiki, Keita, Kondo, Daisuke, Nagatani, Keiji, Kiribayashi, Seiga, Fuchida, Masataka, Tanaka, Masayuki, Yamashita, Atsushi, Asama, Hajime, Shibata, Takashi, Okutomi, Masatoshi, Sasaki, Yoko, Yokokohji, Yasuyoshi, Konyo, Masashi, Nagano, Hikaru, Kanehiro, Fumio, Sugihara, Tomomichi, Ishigami, Genya, Ozaki, Shingo, Suzumori, Koich, Ide, Toru, Yamamoto, Akina, Hioki, Kiyohiro, Oomichi, Takeo, Ashizawa, Satoshi, Tadakuma, Kenjiro, Takamori, Toshi, Kimura, Tetsuya, Murphy, Robin R., Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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27. ImPACT-TRC Thin Serpentine Robot Platform for Urban Search and Rescue

Author

Konyo, Masashi, Ambe, Yuichi, Nagano, Hikaru, Yamauchi, Yu, Tadokoro, Satoshi, Bando, Yoshiaki, Itoyama, Katsutoshi, Okuno, Hiroshi G., Okatani, Takayuki, Shimizu, Kanta, Ito, Eisuke, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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28. Recent R&D Technologies and Future Prospective of Flying Robot in Tough Robotics Challenge

Author

Nonami, Kenzo, Hoshiba, Kotaro, Nakadai, Kazuhiro, Kumon, Makoto, Okuno, Hiroshi G., Tanabe, Yasutada, Yonezawa, Koichi, Tokutake, Hiroshi, Suzuki, Satoshi, Yamaguchi, Kohei, Sunada, Shigeru, Takaki, Takeshi, Nakata, Toshiyuki, Noda, Ryusuke, Liu, Hao, Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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29. Overview of the ImPACT Tough Robotics Challenge and Strategy for Disruptive Innovation in Safety and Security

Author

Tadokoro, Satoshi, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Amato, Nancy, Advisory Editor, Brock, Oliver, Advisory Editor, Bruyninckx, Herman, Advisory Editor, Burgard, Wolfram, Advisory Editor, Chatila, Raja, Advisory Editor, Chaumette, Francois, Advisory Editor, Chung, Wan Kyun, Advisory Editor, Corke, Peter, Advisory Editor, Dario, Paolo, Advisory Editor, De Luca, Alessandro, Advisory Editor, Dillmann, Rüdiger, Advisory Editor, Goldberg, Ken, Advisory Editor, Hollerbach, John, Advisory Editor, Kavraki, Lydia E, Advisory Editor, Kumar, Vijay, Advisory Editor, Nelson, Bradley J., Advisory Editor, Park, Frank Chongwoo, Advisory Editor, Salcudean, S. E., Advisory Editor, Siegwart, Roland, Advisory Editor, Sukhatme, Gaurav S, Advisory Editor, and Tadokoro, Satoshi, editor

Published
2019
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32. Exciting but Comfortable: Applying Haptic Feedback to Stabilized Action-Cam Videos

Author

Gongora, Daniel, Nagano, Hikaru, Konyo, Masashi, Tadokoro, Satoshi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Kajimoto, Hiroyuki, editor, Lee, Dongjun, editor, Kim, Sang-Youn, editor, Konyo, Masashi, editor, and Kyung, Ki-Uk, editor

Published
2019
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33. Enhancing Haptic Experience in a Seat with Two-DoF Buttock Skin Stretch

Author

Horie, Arata, Nomura, Akito, Tadakuma, Kenjiro, Konyo, Masashi, Nagano, Hikaru, Tadokoro, Satoshi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Kajimoto, Hiroyuki, editor, Lee, Dongjun, editor, Kim, Sang-Youn, editor, Konyo, Masashi, editor, and Kyung, Ki-Uk, editor

Published
2019
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38. Effectiveness of canine training using suit-mounted feeder.

Author

Nezu, Shoichi, Ohno, Kazunori, Kojima, Shotaro, Bezerra, Ranulfo, Nagasawa, Miho, Kikusui, Takufumi, and Tadokoro, Satoshi

Subjects
DOG training, WORKING dogs, DOG behavior, ROBOTICS, REMOTE control, DOGS
Abstract

Enhancing Canine–Human communication during training is an important research. We aim to strengthen the communication between canines and humans during the training of canine remote control using robotic technology. Training using rewards is a widely known technique to boost canine ability. So far, this method has consisted of giving rewards from humans, thus creating a strong connection between humans and canines; however, this method can also cause canines to become overly fixated on the people who feed them. Fixation prevents canines from performing behaviors away from people. For that reason, this study explores the possibility of using robotic technology to reduce canine fixation on their trainer. This paper evaluates dog behavior during training with reduced human intervention using a backpack-like device, which provides food as a reward. This method of training is assessed in two dogs by comparing the training time, number of feedings, and number of times the dog looks at nearby humans, as compared to the traditional method. The suit-mounted feeder was used to train the two dogs to follow a spot-light, achieving a success rate of 96.4% in feeding during training. There was no significant difference in training time or number of feedings required for training with this method compared to traditional human-rewarded training methods. On the other hand, it was suggested that the device could reduce the number of times the dogs looked at their trainer by up to 84.7%. Changes in gait caused by the suit and feeder were also evaluated based on the percentage of the swing phase of gait. The results indicate that the presence or absence of the feeder device does not affect the dog's gait. Continued canine training without fixation on the feeder or the trainer could allow the working dogs to demonstrate its abilities in remote areas. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Generation of Turning Motion for Tracked Vehicles Using Reaction Force of Stairs’ Handrail

Author

Ohashi, Yuto, Kojima, Shotaro, Ohno, Kazunori, Okada, Yoshito, Hamada, Ryunosuke, Suzuki, Takahiro, Tadokoro, Satoshi, Siciliano, Bruno, Series editor, Khatib, Oussama, Series editor, Antonelli, Gianluca, Advisory editor, Fox, Dieter, Advisory editor, Harada, Kensuke, Advisory editor, Hsieh, M. Ani, Advisory editor, Kröger, Torsten, Advisory editor, Kulic, Dana, Advisory editor, Hutter, Marco, editor, and Siegwart, Roland, editor

Published
2018
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46. A Pilot Study: Introduction of Time-Domain Segment to Intensity-Based Perception Model of High-Frequency Vibration

Author

Cao, Nan, Nagano, Hikaru, Konyo, Masashi, Okamoto, Shogo, Tadokoro, Satoshi, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Prattichizzo, Domenico, editor, Shinoda, Hiroyuki, editor, Tan, Hong Z., editor, Ruffaldi, Emanuele, editor, and Frisoli, Antonio, editor

Published
2018
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47. Vibrotactile Feedback Improves Collision Detection in Fast Playback of First-Person View Videos

Author

Gongora, Daniel, Nagano, Hikaru, Konyo, Masashi, Tadokoro, Satoshi, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Prattichizzo, Domenico, editor, Shinoda, Hiroyuki, editor, Tan, Hong Z., editor, Ruffaldi, Emanuele, editor, and Frisoli, Antonio, editor

Published
2018
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48. Buttock Skin Stretch: Inducing Shear Force Perception and Acceleration Illusion on Self-motion Perception

Author

Horie, Arata, Nagano, Hikaru, Konyo, Masashi, Tadokoro, Satoshi, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Prattichizzo, Domenico, editor, Shinoda, Hiroyuki, editor, Tan, Hong Z., editor, Ruffaldi, Emanuele, editor, and Frisoli, Antonio, editor

Published
2018
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