2024
ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning.
CoRR, 2024
Local Policies Enable Zero-shot Long-horizon Manipulation.
CoRR, 2024
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation.
CoRR, 2024
MakeWay: Object-Aware Costmaps for Proactive Indoor Navigation Using LiDAR.
CoRR, 2024
Embedding Pose Graph, Enabling 3D Foundation Model Capabilities with a Compact Representation.
CoRR, 2024
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning.
CoRR, 2024
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation.
IEEE Trans. Robotics, December, 2023
Multimodal Large Language Model for Visual Navigation.
CoRR, 2023
Human Following in Mobile Platforms with Person Re-Identification.
CoRR, 2023
Self-Supervised Object Goal Navigation with In-Situ Finetuning.
IROS, 2023
SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Object Goal Navigation with End-to-End Self-Supervision.
CoRR, 2022
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents.
CoRR, 2022
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance.
CoRR, 2022
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
An At-Scale Tailless Flapping-Wing Hummingbird Robot. I. Design, Optimization, and Experimental Validation.
IEEE Trans. Robotics, 2020
2019
Relational Mimic for Visual Adversarial Imitation Learning.
CoRR, 2019
Acting Is Seeing: Navigating Tight Space Using Flapping Wings.
Proceedings of the International Conference on Robotics and Automation, 2019
Learning Extreme Hummingbird Maneuvers on Flapping Wing Robots.
Proceedings of the International Conference on Robotics and Automation, 2019
Flappy Hummingbird: An Open Source Dynamic Simulation of Flapping Wing Robots and Animals.
Proceedings of the International Conference on Robotics and Automation, 2019
Worst Cases Policy Gradients.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
Realtime On-Board Attitude Estimation of High-Frequency Flapping Wing MAVs Under Large Instantaneous Oscillation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Structured Control Nets for Deep Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018
Global Pose Estimation With an Attention-Based Recurrent Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
Resonance Principle for the Design of Flapping Wing Micro Air Vehicles.
IEEE Trans. Robotics, 2017
Geometric flight control of a hovering robotic hummingbird.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Design optimization and system integration of robotic hummingbird.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
2015
Adaptive robust wing trajectory control and force generation of flapping wing MAV.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
2013
Direct drive of flapping wings under resonance with instantaneous wing trajectory control.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013