Extremum-seeking-based adaptive model-free control and its application to automated vehicle path tracking
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 …
respective control laws. However, the accurate vehicle model is difficult to obtain due to the …
Cooperative game-based approximate optimal control of modular robot manipulators for human–robot collaboration
Major challenges of controlling human–robot collaboration (HRC)-oriented modular robot
manipulators (MRMs) include the estimation of human motion intention while cooperating …
manipulators (MRMs) include the estimation of human motion intention while cooperating …
Complete coverage path planning for reconfigurable omni-directional mobile robots with varying width using gbnn (n)
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 …
ability to access confined areas. To enhance the efficiency of area coverage in complete …
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 …
system subject to external disturbances by a nonlinear switched model predictive control …
Robot-aided human evacuation optimal path planning for fire drill in buildings
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 …
to be performed in the least possible time. With the advancements in robotics, deploying …
Diffeomorphism-based robust bounded control for permanent magnet linear synchronous motor with bounded input and position constraints
This article develops a diffeomorphism-based robust bounded control (DRBC) for the
permanent magnet linear synchronous motor system subject to inequality constraints (ie …
permanent magnet linear synchronous motor system subject to inequality constraints (ie …
Adaptive differential game for modular reconfigurable satellites based on neural network observer
N ** robot path planning
Self-reconfigurable robots can change their morphology to expose functionality that enables
them to overcome challenges that fixed shape robots are unable to overcome. A …
them to overcome challenges that fixed shape robots are unable to overcome. A …
Introducing switched adaptive control for self-reconfigurable mobile cleaning robots
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 …
area coverage and adaptability to changing environment. However, the ability to change …
Toward complete coverage planning using deep reinforcement learning by trapezoid-based transformable robot
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 …
(CCP) problem. These robots can extend the covered areas by reconfiguring their shape to …