A neural network based framework for variable impedance skills learning from demonstrations

Y Zhang, L Cheng, R Cao, H Li, C Yang - Robotics and Autonomous …, 2023 - Elsevier
Robots are becoming standard collaborators not only in factories, hospitals, and offices, but
also in people's homes, where they can play an important role in situations where a human …

Adaptive neural network force tracking control of flexible joint robot with an uncertain environment

X Yu, S Liu, S Zhang, W He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a control scheme of the flexible joint robot contacting with an unknown
environment is proposed to realize force tracking. Tracking performance is ensured by …

Multimodality driven impedance-based sim2real transfer learning for robotic multiple peg-in-hole assembly

W Chen, C Zeng, H Liang, F Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Robotic rigid contact-rich manipulation in an unstructured dynamic environment requires an
effective resolution for smart manufacturing. As the most common use case for the …

The classification and new trends of shared control strategies in telerobotic systems: A survey

G Li, Q Li, C Yang, Y Su, Z Yuan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Shared control, which permits a human operator and an autonomous controller to share the
control of a telerobotic system, can reduce the operator's workload and/or improve …

Toward generalizable robotic dual-arm flipping manipulation

H Huang, C Zeng, L Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Robotic dual-arm manipulation often requires close cooperation between the arms. Dual-
arm manipulation tasks are always difficult to program in advance, and then, executed …

A variable impedance scheme based on power-shaping signals and partial knowledge of link-side dynamics for flexible-joint robot interaction and tracking control

E Spyrakos-Papastavridis, JS Dai - IEEE/ASME Transactions …, 2023 - ieeexplore.ieee.org
This article proposes a novel scheme—based on power-shaping control (PSC)—that can
endow flexible-joint robots with both tracking, and interactional, capabilities. In virtue of …

Position-based visual servo control of dual robotic arms with unknown kinematic models: A cerebellum-inspired approach

P Yu, N Tan, M Mao - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
The inverse kinematics problem of robotic arms can be solved effectively based on the
kinematic model. However, the control of robotic arms with unknown kinematic models …

Kinematics-based motion-force control for redundant manipulators with quaternion control

Z Xie, L Jin, X Luo - IEEE Transactions on Automation Science …, 2022 - ieeexplore.ieee.org
Motion-force control of redundant manipulators is universally regarded as a pivotal issue in
industrial manufacturing, especially for the processing of precision instruments. This paper …

Zero-shot sim-to-real transfer of reinforcement learning framework for robotics manipulation with demonstration and force feedback

Y Chen, C Zeng, Z Wang, P Lu, C Yang - Robotica, 2023 - cambridge.org
In the field of robot reinforcement learning (RL), the reality gap has always been a problem
that restricts the robustness and generalization of algorithms. We propose Simulation Twin …

Super‐twisting nonsingular terminal sliding mode‐based robust impedance control of robots

Y Wang, T Sun, J Yang - Complexity, 2022 - Wiley Online Library
This paper proposes a super‐twisting terminal sliding mode‐based robust impedance
controller to improve the compliance and robustness in robot‐environment interaction …