3 citations · 3 across the 5 of their papers we have counts for
5 papers
Optimal Motion Planning using Finite Fourier Series in a Learning-based Collision Field
Feng Yichang, Wang Jin, Lu Guodong
This paper utilizes finite Fourier series to represent a time-continuous motion and proposes a novel planning method that adjusts the motion harmonics of each manipulator joint. Pr…
Bayes Net based highbrid Monte Carlo Optimization for Redundant Manipulator
Feng Yichang, Wang Jin, Zhang Haiyun +1
This paper proposes a Bayes Net based Monte Carlo optimization for motion planning (BN-MCO). Primarily, we adjust the potential fields determined by goal and start constraints to p…
Catch Planner: Catching High-Speed Targets in the Flight
Huan Yu, Pengqin Wang, Jin Wang +8
Catching high-speed targets in the flight is a complex and typical highly dynamic task. In this paper, we propose Catch Planner, a planning-with-decision scheme for catching. For s…
Adaptive Gaussian Process based Stochastic Trajectory Optimization for Motion Planning
Feng Yichang, Zhang Haiyun, Wang Jin +1
We propose a new formulation of optimal motion planning (OMP) algorithm for robots operating in a hazardous environment, called adaptive Gaussian-process based stochastic trajector…
Incrementally Stochastic and Accelerated Gradient Information mixed Optimization for Manipulator Motion Planning
Yichang Feng, Jin Wang, Haiyun Zhang +1
This paper introduces a novel motion planner, incrementally stochastic and accelerated gradient information mixed optimization (iSAGO), for robotic manipulators in a narrow workspa…