A Physical Human–Robot Interaction Framework for Trajectory Adaptation Based on Human Motion Prediction and Adaptive Impedance Control

J Luo, C Zhang, W Si, Y Jiang, C Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Physical human-robot interaction (pHRI) plays an important role in robotic. In order for a
human operator to be able to easily adapt to interact with a robot, a minimal interaction force …

[HTML][HTML] Variable impedance control on contact-rich manipulation of a collaborative industrial mobile manipulator: An imitation learning approach

Z Zhou, X Yang, X Zhang - Robotics and Computer-Integrated …, 2025 - Elsevier
Variable impedance control (VIC) endows robots with the ability to adjust their compliance,
enhancing safety and adaptability in contact-rich tasks. However, determining suitable …

Neural Learning-Based Adaptive Force-Tracking Control for Robots With Finite-Time Prescribed Performance Under Varying Environments

C Liu, G Peng, K Zhao, J Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Endowing robots with the ability to maintain precise interaction force is critical for performing
force control tasks in dynamic environments characterized by unknown and varying stiffness …

Approximation-Based Admittance Control of Robot-Environment Interaction With Guaranteed Performance

G Peng, T Li, C Yang, CLP Chen - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Humans are able to compliantly interact with the environment by adapting its motion
trajectory and contact force. Robots with the human versatility can perform contact tasks …

A Robot Humanoid Control Framework through Human Arm Active Endpoint Stiffness and Direction Adaptive Compensation

C Zhang, S Liu, C Zeng, Y Jiang… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
In the process of human-robot interaction (HRI), the controleffect cannot meet the needs of
HRI tasks if a control strategy is developed solely from the robot's point of view. It's …

A Motion Control Approach for Physical Human–Robot-Environment Interaction via Operational Behaviors Inference

Y Lang, Z Li, Z Li, Y Li, Q Ren - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Human–robot collaboration systems aim to improve working efficiency and reduce human
workload. However, inefficient assimilation of human potential behaviors often leads to …

A Cooperation Control Framework Based on Admittance Control and Time-varying Passive Velocity Field Control for Human--Robot Co-carrying Tasks

D Van Trong, S Honji, T Wada - arXiv preprint arXiv:2407.21339, 2024 - arxiv.org
Human--robot co-carrying tasks demonstrate their potential in both industrial and everyday
applications by leveraging the strengths of both parties. Effective control of robots in these …

Optimized Admittance Control for Manipulators Interacting with Unknown Environment

H Kong, G Peng, G Li, C Yang - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This paper considers the study scenario that the end-effector of a manipulator follows a
desired trajectory and interacts with external environment. To maximize the interaction …

Adaptive Admittance Control with Dynamical Systems for Optimized Motion Adaptation

Y Guo, G Peng, C Yang - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Trajectory adaptation is a crucial ability for robots to perform interactive tasks with the
environment. This paper develops a motion adaptation framework for robots that learns and …

A Stable Guidance Method for Teleoperation-based Robot Learning from Demonstration

W Si, Z Jin, Z Lu, N Wang… - 2024 IEEE 20th …, 2024 - ieeexplore.ieee.org
Robot learning from teleoperation-based demonstration has been proven to be an effective
method for robot skills learning. However, the human demonstration process is mentally and …