Chao Zeng

Orcid: 0000-0003-3648-4644

Affiliations:
  • Universität Hamburg, Hamburg, Germany
  • Guangdong University of Technology, School of Automation, China (former)
  • South China University of Technology, Guangzhou, China (PhD 2019)
  • University of Hamburg, UHH, Department of Informatics, TAMS Group, Germany (2018 - 2019)


According to our database1, Chao Zeng authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Toward Generalizable Robotic Dual-Arm Flipping Manipulation.
IEEE Trans. Ind. Electron., May, 2024

2023
Multifingered Robot Hand Compliant Manipulation Based on Vision-Based Demonstration and Adaptive Force Control.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Editorial: Advanced learning control in physical interaction tasks.
Frontiers Robotics AI, February, 2023

Learn to Coordinate: a Whole-Body Learning from Demonstration Framework for Differential Drive Mobile Manipulators.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Teaching Mechanism of Supernumerary Robotic Limbs for Natural Human-robot Collaboration.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
An Approach for Robotic Leaning Inspired by Biomimetic Adaptive Control.
IEEE Trans. Ind. Informatics, 2022

Generalization of Robot Force-Relevant Skills Through Adapting Compliant Profiles.
IEEE Robotics Autom. Lett., 2022

Motion Regulation for Single-Leader-Dual-Follower Teleoperation in Flipping Manipulation.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

Skill Generalization for Dual-Arm Robot Flipping Manipulation Using OLC-DMP Method.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Simultaneously Encoding Movement and sEMG-Based Stiffness for Robotic Skill Learning.
IEEE Trans. Ind. Informatics, 2021

Learning compliant robotic movements based on biomimetic motor adaptation.
Robotics Auton. Syst., 2021

Learning compliant grasping and manipulation by teleoperation with adaptive force control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Bio-inspired robotic impedance adaptation for human-robot collaborative tasks.
Sci. China Inf. Sci., 2020

2019
A Learning Framework of Adaptive Manipulative Skills From Human to Robot.
IEEE Trans. Ind. Informatics, 2019

Encoding Multiple Sensor Data for Robotic Learning Skills From Multimodal Demonstration.
IEEE Access, 2019

2018
Interface Design of a Physical Human-Robot Interaction System for Human Impedance Adaptive Skill Transfer.
IEEE Trans Autom. Sci. Eng., 2018

2017
Robot learning from multiple demonstrations with dynamic movement primitive.
Proceedings of the 2nd International Conference on Advanced Robotics and Mechatronics, 2017


  Loading...