...Bowen Dong; Eileen L.M. Su; Che Fai Yeong; Mingyu Wu; William Holderbaum; Chenguang Yang Purpose This paper aims to explore the optimization of heuristic scheduling algorithms for mobile robotics. The primary focus is on how these algorithms improve effectiveness in industrial and logistical...

... systems. This allows the systems to achieve finite-time stabilization while satisfying output constraints. It is worth mentioning that the developed algorithm can be extended to the trajectory tracking of a mobile robot. Originality/value Compared with existing results, the main contributions...

... replanning to find a high-quality path with low computation burden. Findings A series of comprehensive simulation experiments demonstrate that the proposed FRT* algorithm can efficiently replan short-cost feasible paths in unknown dynamic environments. The differential wheeled mobile robot with varying...

... on patient’s condition in terms of symptoms and critical parameters during pandemic situations. For dealing with these situations, a service mobile robot with multiple sensors for measuring patients bodily indicators has been proposed and the prototype for the same has been developed that can monitor and aid...

... performance of mobile robots, a multiple data fusion (MDF) method is proposed for indoor environments. Design/methodology/approach Here, multiple sensor data i.e. collected information of inertial measurement unit, odometer and laser radar, are used. Then, an extended Kalman filter (EKF) is used...

...Qifeng Yang; Daokui Qu; Fang Xu; Fengshan Zou; Guojian He; Mingze Sun Purpose This paper aims to propose a series of approaches to solve the problem of the mobile robot motion control and autonomous navigation in large-scale outdoor GPS-denied environments. Design/methodology/approach Based...

...Biwei Tang; Zhu Zhanxia; Jianjun Luo Purpose Aiming at obtaining a high-quality global path for a mobile robot which works in complex environments, a modified particle swarm optimization (PSO) algorithm, named random-disturbance self-adaptive particle swarm optimization (RDSAPSO), is proposed...