A Multi-Scale Grasp Detector Based on Fully Matching Model
This paper presents a multi-scale grasp detector that predicts grasp rectangles of varying sizes in real-time for hand-eye cameras and parallel-plate …
Journal
Journal 分类下共有 7 篇文章
An efficient constraint method for solving planning problems under end-effector constraints
This paper presents the Transformation Cross-sampling Framework (TC-Framework), a novel planner framework that enhances the adaptability of robot …
A novel planner framework compatible with various end-effector constraints
This paper presents the Transformation Cross-sampling Framework (TC-Framework), a novel planner framework that enhances the adaptability of robot …
Deep reinforcement learning-based variable impedance control for grinding workpieces with complex geometry
This paper presents a DRL-based variable impedance control policy for robot force tracking in complex environments, emphasizing stability and …
Impedance learning-based adaptive force tracking for robot on unknown terrains copy
We propose a novel adaptive variable impedance control policy based on deep reinforcement learning (DRL) to address the robust force tracking …
Deep visual-guided and deep reinforcement learning algorithm based for multip-peg-in-hole assembly task of power distribution live-line operation robot
We propose a framework for a Power Distribution Network Live-line Operation Robot (PDLOR) with autonomous tool assembly capabilities, addressing …
An efficiently convergent deep reinforcement learning-based trajectory planning method for manipulators in dynamic environments
We address the inefficient convergence problem in DRL-based trajectory planning for manipulators in dynamic environments by proposing a dynamic action …