Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yichang, Feng"'
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. Primarily, we sum the potential energy for collision detection and the k
Externí odkaz:
http://arxiv.org/abs/2312.09073
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 progressively guide the sampled clusters toward the goal and start poin
Externí odkaz:
http://arxiv.org/abs/2312.09024
We propose a new formulation of optimal motion planning (OMP) algorithm for robots operating in a hazardous environment, called adaptive Gaussian-process based stochastic trajectory optimization (AGP-STO). It first restarts the accelerated gradient d
Externí odkaz:
http://arxiv.org/abs/2112.14953
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 24:536-552
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13af2ec620f7a60cbd66515096cb5ba6
https://doi.org/10.1631/fitee.2200353
https://doi.org/10.1631/fitee.2200353
This paper introduces a novel motion planner, incrementally stochastic and accelerated gradient information mixed optimization (iSAGO), for robotic manipulators in a narrow workspace. Primarily, we propose the overall scheme of iSAGO informed by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0286176dcc0baac1a038a4ba1959c4da