gt-star-lab Goto Github PK
Name: Structured Techniques for Algorithmic Robotics (STAR) Lab
Type: Organization
Bio: Open-source code from the STAR Lab at Georgia Tech. PI: Harish Ravichandar
Location: United States of America
Name: Structured Techniques for Algorithmic Robotics (STAR) Lab
Type: Organization
Bio: Open-source code from the STAR Lab at Georgia Tech. PI: Harish Ravichandar
Location: United States of America
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Robotics: Science and Systems (RSS) 2023
IJCAI 2022 1st Safe RL Workshop paper
Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.
HRI 2022 Workshop Paper
Dynamic Incremental Task Allocation Graph Search (RA-L / IROS 2023)
Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling (IJRR 2022)
Structured Techniques for Algorithmic Robotics (STAR) Lab at Georgia Tech. PI: Harish Ravichandar
Multi-Agent Reinforcement Learning with JAX - Forked to add MARBLER
Expert of the K-CBS algorithm we're planning to use for our VMAS environment
Realistic Benchmarks for Collaborative Heterogeneous Multi-Robot Systems
MARBLER for Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
AAMAS 2022 - Extended Abstract
IROS 2021 Paper
AAMAS 2023 - Extended Abstract
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
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