With the development of global urbanization and construction regional urbanization, residents around urban cities are increasingly making demands on public transportation system. A new kind modern vehicle named Multi-Articulated Guided Vehicle based Virtual Track (MAAV-VT) with advantages beautiful, smart energy conservation environmental protection is proposed in this paper, which aims at opti...

Path planning is an essential component in the control software for an autonomous mobile robot. Evolutionary strategies are employed to determine optimal paths for their robustness and ability to solve complex problems. However, current evolutionary approaches fail to consider varying terrain conditions when determining an optimal path and offer only path planning without trajectory planning. T...

This paper presents an implementation of trajectory planning method while considering velocity constraints for a two-wheeled mobile robot (TMR) on Xenomai. A Bezier curve is utilized to make an S-curved path. A convolution operator is used to generate a velocity profile of the travel distance of the planned path while considering the velocity constraints of the TMR. The trajectory planning and ...

In this paper path planning and obstacle avoidance for a statically stable biped robot using PRM and reinforcement learning is discussed. The main objective of the paper is to compare these two methods of path planning for applications involving a biped robot. The statically stable biped robot under consideration is a 4-degree of freedom walking robot that can follow any given trajectory on fla...

The motions of planar tracked vehicles are govemed by three force and moment equations, but driven by only two independent control variables. The force equation perpendicular to the tracks represents a d y n a m i c nonholonomic constraint which is explicitly dependent on vehicle speed. It couples path planning with trajectory planning, that is, solving for vehicle kinematic motions requires sp...

Planning safe paths is a major building block in robot autonomy. It has been an active field of research for several decades, with a plethora of planning methods. Planners can be generally categorised as either trajectory optimisers or sampling-based planners. The latter is the predominat planning paradigm for occupancy maps. Trajectory optimisation entails major algorithmic changes to tackle c...