55 citations · 197 across the 32 of their papers we have counts for
5 papers · 1 filter
DrMaMP: Distributed Real-time Multi-agent Mission Planning in Cluttered Environment
Zehui Lu, Tianyu Zhou, Shaoshuai Mou
Solving a collision-aware multi-agent mission planning (task allocation and path finding) problem is challenging due to the requirement of real-time computational performance, scal…
Learning from Human Directional Corrections
Wanxin Jin, Todd D. Murphey, Zehui Lu +1
This paper proposes a novel approach that enables a robot to learn an objective function incrementally from human directional corrections. Existing methods learn from human magnitu…
Learning Objective Functions Incrementally by Inverse Optimal Control
Zihao Liang, Wanxin Jin, Shaoshuai Mou
This paper proposes an inverse optimal control method which enables a robot to incrementally learn a control objective function from a collection of trajectory segments. By saying…
Learning from Sparse Demonstrations
Wanxin Jin, Todd D. Murphey, Dana Kulić +2
This paper develops the method of Continuous Pontryagin Differentiable Programming (Continuous PDP), which enables a robot to learn an objective function from a few sparsely demons…
Inverse Optimal Control from Incomplete Trajectory Observations
Wanxin Jin, Dana Kulić, Shaoshuai Mou +1
This article develops a methodology that enables learning an objective function of an optimal control system from incomplete trajectory observations. The objective function is assu…