2k citations · 3.4k across the 66 of their papers we have counts for
3 papers · 1 filter
Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning
Hao Li, Bowen Weng, Abhishek Gupta +2
Finding feasible and collision-free paths for multiple nonlinear agents is challenging in the decentralized scenarios due to limited available information of other agents and compl…
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn, Henry Zhu, Kristian Hartikainen +4
ROBEL is an open-source platform of cost-effective robots designed for reinforcement learning in the real world. ROBEL introduces two robots, each aimed to accelerate reinforcement…
Adapting Low-Cost Platforms for Robotics Research
Thommen George Karimpanal, Mohammadreza Chamanbaz, Wenzheng Li +3
Validation of robotics theory on real-world hardware platforms is important to prove the practical feasibility of algorithms. This paper discusses some of the lessons learned while…