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30 results on '"Tuli, Tadele Belay"'

1. A Motion Capture-Based Approach to Human Work Analysis for Industrial Assembly Workstations

Author

Jonek, Michael, Tuli, Tadele Belay, Manns, Martin, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Galizia, Francesco Gabriele, editor, and Bortolini, Marco, editor

Published
2023
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5. List of contributors

Author

Aboulkhair, Nesma T., primary, Ajmera, Puneeta, additional, Akinlabi, Esther T., additional, Akinlabi, S.A., additional, Alqaydi, Hend, additional, Alshehhi, Nujood, additional, Anand Kumar, S., additional, Angajala, Dheeraj Kumar, additional, Arivazhagan, Selvam, additional, Bellare, Jayesh, additional, Bhardwaj, Amit, additional, Bhatnagar, Anurag, additional, Dasgupta, Sudip, additional, Dey, Arup, additional, Esawi, Amal M.K., additional, Gambhir, Victor, additional, Ghisi C, Natalia B., additional, González-Henríquez, Carmen M., additional, Gupta, Deepak, additional, Haleem, Abid, additional, Hassan, Sunir, additional, Jain, Vineet, additional, Javaid, Mohd, additional, Jen, T-C., additional, Jena, Anita, additional, Kalaichelvan, K., additional, Kalra, Sheetal, additional, Kaushik, Brahmansh, additional, Kumar, Ajay, additional, Kumar, Arvind, additional, Kumar, Cheruvu Siva, additional, Kumar, Lokesh, additional, Kumar, Parveen, additional, Kumaran, M., additional, Mahamood, Rasheedat M., additional, Makhesana, Mayurkumar A., additional, Mishra, Ashish Kumar, additional, Mishra, Santosh Kr., additional, Mittal, Ravi Kant, additional, Pal, Bidyut, additional, Patel, Kaushik M., additional, Pérez-Monje, Dan A., additional, Prabhakar, Mona, additional, Pradeep, Kishore, additional, Raoelison, Rija Nirina, additional, Rodríguez-Hernández, Juan, additional, Rodríguez-Umanzor, Fernando E., additional, Sahai, Ankit, additional, Samal, Bijaya Bikram, additional, Sarabia-Vallejos, Mauricio A., additional, Sathies, T., additional, Sehrawat, Sonam, additional, Senthilkumar, V., additional, Sharma, Rahul Swarup, additional, Shoeb, Mohd, additional, Singh, Hari, additional, Singh, Yogendra Pratap, additional, Sreeraj, P.R., additional, Srinivas, J., additional, Stalin, S., additional, Sudhakar, U., additional, Tuli, Tadele Belay, additional, Varshney, Shailendra Kumar, additional, Velu, Rajkumar, additional, Whenish, Ruban, additional, Yadav, Anshul, additional, Yadav, Kuldeep, additional, Yadav, Sheetal, additional, and Yodo, Nita, additional

Published
2023
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6. Constraints for Motion Generation in Work Planning with Digital Human Simulations

Author

Jonek, Michael, Tuli, Tadele Belay, Manns, Martin, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Andersen, Ann-Louise, editor, Andersen, Rasmus, editor, Brunoe, Thomas Ditlev, editor, Larsen, Maria Stoettrup Schioenning, editor, Nielsen, Kjeld, editor, Napoleone, Alessia, editor, and Kjeldgaard, Stefan, editor

Published
2022
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7. Understanding Shared Autonomy of Collaborative Humans Using Motion Capture System for Simulating Team Assembly

Author

Tuli, Tadele Belay, Manns, Martin, Jonek, Michael, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Andersen, Ann-Louise, editor, Andersen, Rasmus, editor, Brunoe, Thomas Ditlev, editor, Larsen, Maria Stoettrup Schioenning, editor, Nielsen, Kjeld, editor, Napoleone, Alessia, editor, and Kjeldgaard, Stefan, editor

Published
2022
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8. Comparison of AI-based Task Planning Approaches for Simulating Human-Robot Collaboration

Author

Tuli, Tadele Belay, Manns, Martin, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Andersen, Ann-Louise, editor, Andersen, Rasmus, editor, Brunoe, Thomas Ditlev, editor, Larsen, Maria Stoettrup Schioenning, editor, Nielsen, Kjeld, editor, Napoleone, Alessia, editor, and Kjeldgaard, Stefan, editor

Published
2022
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17. Mathematical Modeling and Dynamic Simulation of Gantry Robot Using Bond Graph

Author

Tuli, Tadele Belay, Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Mekuria, Fisseha, editor, Nigussie, Ethiopia Enideg, editor, Dargie, Waltenegus, editor, Edward, Mutafugwa, editor, and Tegegne, Tesfa, editor

Published
2018
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19. Explainable human activity recognition based on probabilistic spatial partitions for symbiotic workplaces.

Author

Tuli, Tadele Belay and Manns, Martin

Abstract

In recent years, smart workplaces that adapt to human activity and motion behavior have been proposed for cognitive production systems. In this respect, methods for identifying the feelings and activities of human workers are being investigated to improve the cognitive capability of smart machines such as robots in shared working spaces. Recognizing human activities and predicting the possible next sequence of operations may simplify robot programming and improve collaboration efficiency. However, human activity recognition still requires explainable models that are versatile, robust, and interpretative. Therefore, recognizing and analyzing human action details using continuous probability density estimates in different workplace layouts is essential. Three scenarios are considered: a standalone, a one-piece flow U-form, and a human-robot hybrid workplace. This work presents a novel approach to human activity recognition based on a probabilistic spatial partition (HAROPP). Its performance is compared to the geometric-bounded activity recognition method. Results show that spatial partitions based on probabilistic density contain 20% fewer data frames and 10% more spatial areas than the geometric bounding box. The approach, on average, detects human activities correctly for 81% of the cases for a pre-known workplace layout. HAROPP has scalability and applicability potential for cognitive workplaces with a digital twin in the loop for pushing the cognitive capabilities of machine systems and realizing human-centered environments. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Human motion retargeting to generate robot trajectory-replication of human-guided path

Author

Santos Granero, Jon Ander, Manns, Martin, Tuli, Tadele Belay, and Universidad de Cantabria

Subjects
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Abstract

In this project we propose and study a methodology to generate a robot motion by the retargeting of human motion captured using an HTC Vive system. As a way to test the outcome, the human motion was obtained by the performer trying to mimic or follow a robot end effector in real time. Our task is to take the human motion as an input, use several techniques to process it and then reconstruct from it the motion that the performer was trying to achieve. We then compare this motion to the original motion recorded from the robot itself. The processing of the data consists of applying PCA to obtain a two-dimensional projection, computing the approximate period of the movements by the location of points, sampling average points at points evenly spaced in time along the cycle, and then using a Bspline to reconstruct a continuous, smooth and closed curve. A generic method is developed utilizing Python script, except for a first preprocessing step realized with Blender. The results of our study show that from a dataset with variation in the order of 10 to 20cm (the human motion) we obtain a result with an error in respect to the motion recorded from the robot in the order of 1 to 5cm. Grado en Ingeniería en Electrónica Industrial y Automática

Published
2020

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