This paper addresses the problem of simultaneously finding optimal paths and assignments of aerial robots to goals in a setting where robots are identical, and ...
This paper presents a computationally tractable, resolution-complete algorithm for generating dynamically feasible trajectories for N interchangeable (identical) ...
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Goal Assignment and Trajectory Planning for Large Teams of Aerial Robots · Matthew Turpin, K. Mohta, +1 author. Vijay R. Kumar · Published in Robotics: Science ...
This paper presents Goal Assignment and Planning: a computationally tractable, complete algorithm for generating dynamically feasible trajectories for \(N\) ...
This paper tackles the unlabeled multi-robot motion planning problem with motion constraints as a multi-agent reinforcement learning problem with some ...
This paper presents Goal Assignment and Planning: a computationally tractable, complete algorithm for generating dynamically feasible trajectories for N N ...
Goal Assignment and Trajectory Planning for Large Teams of Aerial Robots. In Paul Newman, Dieter Fox, David Hsu, editors, Robotics: Science and Systems IX ...
This paper presents Goal Assignment and Planning: a computationally tractable, complete algorithm for generating dynamically feasible trajectories for N ...
Missing: Aerial | Show results with:Aerial
The method first assigns robots to goals to minimize total time-in-motion based on initial trajectories.
This paper considers the problem of decentralized goal assignment and trajectory generation for multi-robot networks when only local communication is available, ...