Hierarchical Task-Oriented Whole-Body Locomotion of a Walking Exoskeleton Using Adaptive Dynamic Motion Primitive for Cart Pushing

X Hao, Z Li, P Huang, P Shi, G Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes a hierarchical task-oriented whole-body locomotion framework for the
exoskeleton walking-cart pushing (EWCP) task, which includes a straight gait and a …

FuzzyTrack: User Adaptive Cervical Spine Motion Prediction with Earable Inertial Sensing

C Luo, Y Li, G Chen, X Li, J Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The widespread use of electronic devices has contributed to an increase in poor posture,
particularly when it comes to the cervical spine, leading to various cervical vertebral pain …

Multi-Objective Optimization of a Lower Limb Prosthesis for Metabolically Efficient Walking Assistance

G Li, J Wang, Z Li, GG Yen, Q Qi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Enhancing energy efficiency is pivotal for advancing robotic lower limb prostheses.
However, the conventional control strategy in powered prostheses displays notable variance …

A Novel Robust Imitation Learning Framework for Dual-Arm Object-Moving Tasks

W Wang, C Zeng, Z Lu, C Yang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Drawing inspiration from the mechanism of human skill acquisition, imitation learning has
demonstrated remarkable performance. Over recent years, modelbased imitation learning …

Real-Time Trajectory Planning and Obstacle Avoidance for Human–Robot Co-Transporting

X Yu, X Guo, W He, MA Mughal… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, a real-time obstacle avoidance approach and a trajectory planning method are
proposed to avoid collisions to move an object jointly by a human and an omnidirectional …

Application of Reinforcement Learning to UR10 Positioning for Prioritized Multi-Step Inspection in NVIDIA Omniverse

F Bahrpeyma, A Sunilkumar… - 2023 IEEE Symposium …, 2023 - ieeexplore.ieee.org
Sequential multi-step operations have long played an important role in manufacturing
systems. In high level multi-step manufacturing processes, multiple operations are carried …

Dynamic Movement Primitives-Based Human Action Prediction and Shared Control for Bilateral Robot Teleoperation

Z Lu, W Si, N Wang, C Yang - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
This article presents a novel shared-control teleoperation framework that integrates imitation
learning and bilateral control to achieve system stability based on a new dynamic movement …

Learning Target-Directed Skill and Variable Impedance Control From Interactive Demonstrations for Robot-Assisted Soft Tissue Puncture Tasks

X Zhai, L Jiang, H Wu, H Zheng, D Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
A framework is proposed in this paper for learning variable impedance in percutaneous
puncture surgery, with the aim of simplifying the robotic puncture of soft tissues. The …

A novel framework inspired by human behavior for peg-in-hole assembly

P Guo, W Si, C Yang - Robotic Intelligence and Automation, 2024 - emerald.com
Purpose The purpose of this paper is to enhance the performance of robots in peg-in-hole
assembly tasks, enabling them to swiftly and robustly accomplish the task. It also focuses on …

A Predefined Time Constrained Adaptive Fuzzy Control Method with Singularity-Free Switching for Uncertain Robots

Y Fan, H Zhan, Y Li, C Yang - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
In this article, an adaptive fuzzy logic system (FLS) predefined time tracking control
technique is investigated for robot systems with constrained position errors. To this end, a …