Cooperative game-based approximate optimal control of modular robot manipulators for human–robot collaboration

T An, Y Wang, G Liu, Y Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Major challenges of controlling human–robot collaboration (HRC)-oriented modular robot
manipulators (MRMs) include the estimation of human motion intention while cooperating …

Extremum-seeking-based adaptive model-free control and its application to automated vehicle path tracking

Z Wang, X Zhou, J Wang - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Traditional automated vehicle path-tracking algorithms require plant models to derive the
respective control laws. However, the accurate vehicle model is difficult to obtain due to the …

Robot-aided human evacuation optimal path planning for fire drill in buildings

K Sriniketh, AV Le, RE Mohan, BJ Sheu… - Journal of Building …, 2023 - Elsevier
Human evacuation during an emergency in high-rise buildings is a life-risking task and has
to be performed in the least possible time. With the advancements in robotics, deploying …

Complete coverage path planning for reconfigurable omni-directional mobile robots with varying width using gbnn (n)

L Yi, AYS Wan, AV Le, AA Hayat, QR Tang… - Expert Systems with …, 2023 - Elsevier
Self-reconfigurable robots which can change their footprint's width have demonstrated the
ability to access confined areas. To enhance the efficiency of area coverage in complete …

sEMG-based adaptive cooperative multi-mode control of a soft elbow exoskeleton using neural network compensation

Q Wu, Z Wang, Y Chen - IEEE Transactions on Neural Systems …, 2023 - ieeexplore.ieee.org
Soft rehabilitation exoskeletons have gained much attention in recent years, striving to assist
the paralyzed individuals restore motor functions. However, it is a challenge to promote …

Introducing switched adaptive control for self-reconfigurable mobile cleaning robots

MM Rayguru, S Roy, L Yi, MR Elara… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable robots provide an attractive option for cleaning tasks, thanks to their better
area coverage and adaptability to changing environment. However, the ability to change …

Nonlinear switched model predictive control with multiple Lyapunov functions for trajectory tracking and obstacle avoidance of nonholonomic systems

H Zhao, H Yang, Z Wang, H Li - International Journal of Robust …, 2023 - Wiley Online Library
In this paper, we investigate trajectory tracking and obstacle avoidance for a nonholonomic
system subject to external disturbances by a nonlinear switched model predictive control …

Diffeomorphism-based robust bounded control for permanent magnet linear synchronous motor with bounded input and position constraints

Z Zhu, H Zhao, H Sun, K Shao - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article develops a diffeomorphism-based robust bounded control (DRBC) for the
permanent magnet linear synchronous motor system subject to inequality constraints (ie …

Research on intelligent vehicle trajectory tracking control based on improved adaptive MPC

W Tan, M Wang, K Ma - Sensors, 2024 - mdpi.com
Intelligent vehicle trajectory tracking exhibits problems such as low adaptability, low tracking
accuracy, and poor robustness in complex driving environments with uncertain road …

Toward complete coverage planning using deep reinforcement learning by trapezoid-based transformable robot

DT Vo, AV Le, TD Ta, M Tran, P Van Duc, MB Vu… - … Applications of Artificial …, 2023 - Elsevier
Shape-shifting robots are the feasible solutions to solve the Complete Coverage Planning
(CCP) problem. These robots can extend the covered areas by reconfiguring their shape to …