A neural network based framework for variable impedance skills learning from demonstrations
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
kinematic model. However, the control of robotic arms with unknown kinematic models …
Kinematics-based motion-force control for redundant manipulators with quaternion control
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 …
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
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 …
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 …
controller to improve the compliance and robustness in robot‐environment interaction …