A Physical Human–Robot Interaction Framework for Trajectory Adaptation Based on Human Motion Prediction and Adaptive Impedance Control
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 …
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
Variable impedance control (VIC) endows robots with the ability to adjust their compliance,
enhancing safety and adaptability in contact-rich tasks. However, determining suitable …
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 …
force control tasks in dynamic environments characterized by unknown and varying stiffness …
Approximation-Based Admittance Control of Robot-Environment Interaction With Guaranteed Performance
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 …
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 …
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 …
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 …
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 …
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 …
environment. This paper develops a motion adaptation framework for robots that learns and …
A Stable Guidance Method for Teleoperation-based Robot Learning from Demonstration
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 …
method for robot skills learning. However, the human demonstration process is mentally and …