most citedIncrementally Stochastic and Accelerated Gradient Information mixed Optimization for Manipulator Motion Planning

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

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…

cs.RO2023

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…

cs.RO2023

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…

cs.RO2021

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…

cs.RO2021★ 3 cited

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…