Adaptive force tracking impedance control for aerial interaction in uncertain contact environment using barrier function

J Liang, H Zhong, Y Wang, Y Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, an adaptive force tracking impedance control strategy is investigated for an
aerial manipulator in physical interaction with uncertain contact environments. Based on the …

Reference optimization-based compliant control for aerial pipeline inspection using a hexacopter with a robotic contact device

J Liang, H Zhong, Y Wang, Y Chen… - IEEE/ASME …, 2024 - ieeexplore.ieee.org
This article proposes a reference optimization-based compliant control framework for aerial
pipeline inspection using a hexacopter with a robotic contact device. The system dynamics …

Cooperative Tracking of Quadrotor UAVs Using Parallel Optimal Learning Control

K Xia, X Li, K Li, Y Zou, Z Zuo - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The cooperative tracking control issue of quadrotor unmanned aerial vehicles (UAVs) is
investigated, where a cluster of UAVs is required to maintain a preassigned pattern while …

Interaction is Worth More Explanations: Improving Human-Object Interaction Representation with Propositional Knowledge

F Yang, Y Cao, X Li, W Zhang - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
Detecting Human-Object Interactions (HOI) presents a formidable challenge, necessitating
the discernment of intricate, high-level relationships between humans and objects. Recent …

Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks

Y Zhang, Y Zou, H Li, H Zhang… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Autonomous Dynamic System (DS)-based algorithms hold a pivotal and foundational role in
the field of Learning from Demonstration (LfD). Nevertheless, they confront the formidable …

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 …

Cerebellum-Inspired Model Predictive Control for Redundant Manipulators with Unknown Structure Information

J Yan, M Liu, L Jin - IEEE Transactions on Cognitive and …, 2023 - ieeexplore.ieee.org
When the structure information of a redundant manipulator is unknown, motion control
methods that do not rely on its model are attractive. Due to the numerous advantages of …

An impedance recognition framework based on electromyogram for physical human-robot interaction

J Luo, C Zhang, C Zeng, Y Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In physical human robot interaction (pHRI), the interaction profiles, such as impedance and
interaction force are greatly influenced by the operator's muscle activities, impedance and …

Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks

L Qian, L Hao, S Cui, X Gao, X Zhao, Y Li - Applied Sciences, 2025 - mdpi.com
In robot grinding tasks, dual manipulators possess improved flexibility, which can cooperate
to complete different tasks with higher efficiency and satisfactory effect. In collaborative robot …

Gaussian Process Model Predictive Admittance Control for Compliant Tool-Environment Interaction

W Zhu, W Liang, Q Ren, Y Wu - 2024 IEEE 19th Conference on …, 2024 - ieeexplore.ieee.org
Humans demonstrate remarkable dexterous manipulation ability by using tools to physically
interact with the environments, eg, refined polishing of workpieces using tools with soft …