The source code of the paper "Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards" - GT-SHAN/Multi-Robot-Navigation
A leader-follower framework is proposed for multi-robot navigation of large scale teams where the leader agents corral the follower agents. A group of leaders is modeled as a 2D deformable object where discrete masses (i.e., leader robots) are interconnected by springs and dampers. A time-var...
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation 来自 掌桥科研 喜欢 0 阅读量: 46 作者:DL Smyth,J Fennell,S Abinesh,NB Karimi,FG Glavin,I Ullah,B Drury,MG Madden 摘要: Accidents and attacks that involve chemical, biological, ...
The source code of the paper "Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards" - Lolmech/rl_rvo_nav
展开 关键词: SLAM (robots computational complexity image matching multi-robot systems navigation optimisation robot vision trees (mathematics Mahalanobis distance computational complexity 会议名称: IEEE/RSJ International Conference on Intelligent Robots & Systems 会议...
Finally, we show that the collision-avoidance policy learned from multi-robot navigation tasks provides an excellent solution for safe and effective autonomous navigation for a single robot working in a dense real human crowd. Our learned policy enables a robot to make effective progress in a ...
In this paper, we discuss autonomous navigation in multirobot environment based on local communication. To carry out cooperative tasks using multiple autonomous robots, navigation systems should be implemented to the robots because mutual alignment of their positions and collision avoidance to each other...
Robust motion planning is a well-studied problem in the robotics literature, yet current algorithms struggle to operate scalably and safely in the presence of other moving agents, such as humans. This paper introduces a novel framework for robot navigation that accounts for high-order system dynamic...
Multi-robot Systems (MRS) groupatDepartment of Cybernetics,Faculty of Electrical Engineering,Czech Technical University in Pragueintegrates various research disciplines required for design, implementation, experimental evaluation, and application of complex robotic systems. Research streams followed by MRS group...
Finally, we show that the collision-avoidance policy learned from multi-robot navigation tasks provides an excellent solution to the safe and effective autonomous navigation for a single robot working in a dense real human crowd. Our learned policy enables a robot to make effective progress in a ...