44 citations · 51 across the 5 of their papers we have counts for
5 papers
Provably Safe Trajectory Generation for Manipulators Under Motion and Environmental Uncertainties
Fei Meng, Zijiang Yang, Xinyu Mao +2
Robot manipulators operating in uncertain and non-convex environments present significant challenges for safe and optimal motion planning. Existing methods often struggle to provid…
Online Time-Informed Kinodynamic Motion Planning of Nonlinear Systems
Fei Meng, Jianbang Liu, Haojie Shi +3
Sampling-based kinodynamic motion planners (SKMPs) are powerful in finding collision-free trajectories for high-dimensional systems under differential constraints. Time-informed se…
NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments
Fei Meng, Liangliang Chen, Han Ma +2
Balancing the trade-off between safety and efficiency is of significant importance for path planning under uncertainty. Many risk-aware path planners have been developed to explici…
Relevant Region Sampling Strategy with Adaptive Heuristic for Asymptotically Optimal Path Planning
Chenming Li, Fei Meng, Han Ma +2
Sampling-based planning algorithm is a powerful tool for solving planning problems in high-dimensional state spaces. In this article, we present a novel approach to sampling in the…
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search
Fan Bai, Fei Meng, Jianbang Liu +2
Non-prehensile multi-object rearrangement is a robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping. It needs…