A Human–Robot Collaboration Method Using a Pose Estimation Network for Robot Learning of Assembly Manipulation Trajectories From Demonstration Videos
Author:
Affiliation:
1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
2. Software College, Shenyang Normal University, Shenyang, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10116046/09964302.pdf?arnumber=9964302
Reference25 articles.
1. Efficient Insertion Control for Precision Assembly Based on Demonstration Learning and Reinforcement Learning
2. State-of-the-Art control strategies for robotic PiH assembly
3. Vision-based grasp learning of an anthropomorphic hand-arm system in a synergy-based control framework
4. Feedback Deep Deterministic Policy Gradient With Fuzzy Reward for Robotic Multiple Peg-in-Hole Assembly Tasks
5. Can robots assemble an IKEA chair?
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