Transformer-based imitative reinforcement learning for multirobot path planning

L Chen, Y Wang, Z Miao, Y Mo, M Feng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Multirobot path planning leads multiple robots from start positions to designated goal
positions by generating efficient and collision-free paths. Multirobot systems realize …

Online obstacle avoidance path planning and application for arc welding robot

X Zhou, X Wang, Z **e, F Li, X Gu - Robotics and Computer-Integrated …, 2022 - Elsevier
The offline path planning problem for arc welding robots becomes increasingly difficult to
achieve with the increasing product complexity and the open work environment, such as the …

Novel Potential Guided Bidirectional RRT* With Direct Connection Strategy for Path Planning of Redundant Robot Manipulators in Joint Space

J Dai, Y Zhang, H Deng - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
To avoid the cumbersome calculation of inverse kinematics and improve the efficiency of
obstacle avoidance, a novel potential guided bidirectional rapidly-exploring random tree star …

Multiplayer obstacle avoidance pursuit-evasion games with adaptive parameter estimation

L Cheng, Y Yuan - IEEE Transactions on Industrial Electronics, 2022 - ieeexplore.ieee.org
This article investigates a class of multiplayer obstacle avoidance pursuit-evasion games
with intracoalition cooperation and intercoalition confrontation. In order to obtain distributed …

Application of deep learning in the deployment of an industrial scara machine for real-time object detection

TP Kapusi, TI Erdei, G Husi, A Hajdu - Robotics, 2022 - mdpi.com
In the spirit of innovation, the development of an intelligent robot system incorporating the
basic principles of Industry 4.0 was one of the objectives of this study. With this aim, an …

Multiagent path finding using deep reinforcement learning coupled with hot supervision contrastive loss

L Chen, Y Wang, Y Mo, Z Miao, H Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Multiagent path finding (MAPF) is employed to find collision-free paths to guide agents
traveling from an initial to a target position. The advanced decentralized approach utilizes …

Data-driven control for continuum robots based on discrete zeroing neural networks

N Tan, P Yu, Z Zhong, Y Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The effectiveness of continuous-time zeroing neural network (ZNN)(CZNN) in continuum
robot control has been preliminarily verified. However, CZNN is not friendly to digital devices …

A data-driven obstacle avoidance scheme for redundant robots with unknown structures

Z **e, M Liu, Z Su, Z Sun, L ** - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Redundant robots may undergo structural changes due to factors such as modifications,
which pose challenges to their precise control and obstacle avoidance. To resolve this …

Discrete-time position tracking control for multimotor driving systems via multipower terminal sliding-mode technique

X Wang, B Wang, X Chen, J Yu - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
With the popularization of computerized digital control systems, the discrete-time control
design has attracted increasing attention. This article presents a novel discrete-time second …