73 results on '"Schoellig, Angela P."'
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2. Does Unpredictability Influence Driving Behavior?
3. Uncertainty-Aware Gaussian Mixture Model for UWB Time Difference of Arrival Localization in Cluttered Environments
4. Continuous-Time Range-Only Pose Estimation
5. AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments
6. Multi-View Keypoints for Reliable 6D Object Pose Estimation
7. Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems
8. Gaussian Variational Inference with Covariance Constraints Applied to Range-only Localization
9. Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?
10. RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks
11. Learning a Stability Filter for Uncertain Differentially Flat Systems using Gaussian Processes
12. Online Spatio-temporal Calibration of Tightly-coupled Ultrawideband-aided Inertial Localization
13. Learning to Fly—a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
14. Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization
15. Mobile Manipulation in Unknown Environments with Differential Inverse Kinematics Control
16. Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
17. Visual Localization with Google Earth Images for Robust Global Pose Estimation of UAVs
18. Context-aware Cost Shaping to Reduce the Impact of Model Error in Receding Horizon Control
19. Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots
20. Active Training Trajectory Generation for Inverse Dynamics Model Learning with Deep Neural Networks
21. Trajectory Tracking for Quadrotors with Attitude Control on $\mathcal{S}^{2}\times \mathcal{S}^{1}$
22. Learning Probabilistic Models for Safe Predictive Control in Unknown Environments
23. Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking
24. Fast and In Sync: Periodic Swarm Patterns for Quadrotors
25. Building a Winning Self-Driving Car in Six Months
26. Adaptive Model Predictive Control for High-Accuracy Trajectory Tracking in Changing Conditions
27. Flatness-Based Model Predictive Control for Quadrotor Trajectory Tracking
28. Experience-Based Model Selection to Enable Long-Term, Safe Control for Repetitive Tasks Under Changing Conditions
29. Level-Headed: Evaluating Gimbal-Stabilised Visual Teach and Repeat for Improved Localisation Performance
30. Design of deep neural networks as add-on blocks for improving impromptu trajectory tracking
31. Multi-robot transfer learning: A dynamical system perspective
32. A framework for multi-vehicle navigation using feedback-based motion primitives
33. Learning multimodal models for robot dynamics online with a mixture of Gaussian process experts
34. Deep neural networks for improved, impromptu trajectory tracking of quadrotors
35. High-precision trajectory tracking in changing environments through L1 adaptive feedback and iterative learning
36. Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization
37. On the construction of safe controllable regions for affine systems with applications to robotics
38. Distributed iterative learning control for a team of quadrotors
39. Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes
40. A Modular Framework for Motion Planning Using Safe-by-Design Motion Primitives.
41. Unscented external force and torque estimation for quadrotors
42. Safe controller optimization for quadrotors with Gaussian processes
43. Safe and robust robot maneuvers based on reach control
44. An upper bound on the error of alignment-based Transfer Learning between two linear, time-invariant, scalar systems
45. Safe and robust learning control with Gaussian processes
46. Conservative to confident: Treating uncertainty robustly within Learning-Based Control
47. Design of norm-optimal iterative learning controllers: The effect of an iteration-domain Kalman filter for disturbance estimation
48. A Proof-of-Concept Demonstration of Visual Teach and Repeat on a Quadrocopter Using an Altitude Sensor and a Monocular Camera
49. Speed Daemon: Experience-Based Mobile Robot Speed Scheduling
50. Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments
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