Hierarchical Task-Oriented Whole-Body Locomotion of a Walking Exoskeleton Using Adaptive Dynamic Motion Primitive for Cart Pushing
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 …
exoskeleton walking-cart pushing (EWCP) task, which includes a straight gait and a …
FuzzyTrack: User Adaptive Cervical Spine Motion Prediction with Earable Inertial Sensing
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 …
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
Enhancing energy efficiency is pivotal for advancing robotic lower limb prostheses.
However, the conventional control strategy in powered prostheses displays notable variance …
However, the conventional control strategy in powered prostheses displays notable variance …
A Novel Robust Imitation Learning Framework for Dual-Arm Object-Moving Tasks
Drawing inspiration from the mechanism of human skill acquisition, imitation learning has
demonstrated remarkable performance. Over recent years, modelbased imitation learning …
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 …
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 …
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
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 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 …
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
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 …
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 …
technique is investigated for robot systems with constrained position errors. To this end, a …