117 citations · 130 across the 6 of their papers we have counts for
6 papers
Learning Fast, Tool aware Collision Avoidance for Collaborative Robots
Joonho Lee, Yunho Kim, Seokjoon Kim +2
Ensuring safe and efficient operation of collaborative robots in human environments is challenging, especially in dynamic settings where both obstacle motion and tasks change over…
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
Fan Shi, Chong Zhang, Takahiro Miki +3
Legged locomotion has recently achieved remarkable success with the progress of machine learning techniques, especially deep reinforcement learning (RL). Controllers employing neur…
Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots
Joonho Lee, Marko Bjelonic, Alexander Reske +3
Autonomous wheeled-legged robots have the potential to transform logistics systems, improving operational efficiency and adaptability in urban environments. Navigating urban enviro…
Learning to walk in confined spaces using 3D representation
Takahiro Miki, Joonho Lee, Lorenz Wellhausen +1
Legged robots have the potential to traverse complex terrain and access confined spaces beyond the reach of traditional platforms thanks to their ability to carefully select footho…
Solving Multi-Entity Robotic Problems Using Permutation Invariant Neural Networks
Tianxu An, Joonho Lee, Marko Bjelonic +2
Challenges in real-world robotic applications often stem from managing multiple, dynamically varying entities such as neighboring robots, manipulable objects, and navigation goals.…
Evaluation of Constrained Reinforcement Learning Algorithms for Legged Locomotion
Joonho Lee, Lukas Schroth, Victor Klemm +3
Shifting from traditional control strategies to Deep Reinforcement Learning (RL) for legged robots poses inherent challenges, especially when addressing real-world physical constra…