Dynamic modelling of mobile robots is very important to design of controllers, mainly when the robots need to travel at higher velocity and perform heavy works. For example, in (Liu et al., 2003) and (Watanabe, 1998), control strategies for omnidirectional robots using the dynamic model are discussed. However, non-linearities, like motor dynamic constraints can greatly affect the robot behaviou...

EyeSim is a multi-robot, multi-tasking simulation system that allows realistic simulation of mobile robots with either differential drive, Ackermann steering, or omni-directional Mechanum wheel drive. The software development kit (SDK) for EyeSim is identical to the RoBIOS operating system for the real EyeBot robots, including a virtual camera system. A realistic error model for sensors and act...

Abstract Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, however, mobile robots should generate an environment map by themselves. We propose a method for 3D environment modeling by a mobile robot. A 3D environment model can be generaterd from the result of 3D measurement using image data. To realize a ...

Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, however, mobile robots should generate an environment map by themselves. We propose a method for 3D environment modeling by a mobile robot. A 3D environment model can be generaterd from the result of 3D measurement using image data. To realize a 3D measur...

In this paper, we propose an algorithm that combine the restriction on motor’s velocities and the kinematic model of Omni-Directional mobile robots to improve the trajectory’s following. The algorithm verifies the reference velocities of the robot and redefine them if necessary, in order to prevent possible saturation on motor’s velocities. Simulation results of the algorithm applied to an omni...

this paper presents a parameterization method to optimal trajectory planning and dynamic obstacle avoidance for omni-directional robots. the aim of trajectory planning is minimizing a quadratic cost function while a maximum limitation on velocity and acceleration of robot is considered. first, we parameterize the trajectory using polynomial functions with unknown coefficients which transforms t...

Robotics is a growing field that has received tremendous support and focus in recent years. Backed by government and industry interests, robots now have the potential to move beyond traditional manufacturing setting into human-centered environments. Therefore, safety emerges as one of the most fundamental requirements in designing Human-Centered Robots (HCRs). To attain HCRs with high mobility ...

This paper describes a low computational direct approach for optimal motion planning and obstacle avoidance of Omni-directional mobile robots within velocity and acceleration constraints on the robot motion. The main purpose of this problem is the minimization of a quadratic cost function while limitation on velocity and acceleration of robot is considered and collision with any obstacle in the...