3 citations · 3 across the 6 of their papers we have counts for
6 papers
DRAFTO: Decoupled Reduced-space and Adaptive Feasibility-repair Trajectory Optimization for Robotic Manipulators
Yichang Feng, Xiao Liang, Minghui Zheng
This paper introduces a new algorithm for trajectory optimization, Decoupled Reduced-space and Adaptive Feasibility-repair Trajectory Optimization (DRAFTO). It first constructs a c…
FACTO: Function-space Adaptive Constrained Trajectory Optimization for Robotic Manipulators
Yichang Feng, Xiao Liang, Minghui Zheng
This paper introduces Function-space Adaptive Constrained Trajectory Optimization (FACTO), a new trajectory optimization algorithm for both single- and multi-arm manipulators. Traj…
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…
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…