Robot vision refers to the capability of a robot to visually perceive the environment and use this information for execution of different tasks. Visual feedback has been used extensively for robot navigation and obstacle avoidance. In the recent years, there are also examples that include interaction with people and manipulation of objects. In this paper, we review some of the work that goes be...

In this paper we address the problem of how a group of four assembled simulated robots forming a linear structure can co-ordinate and move as straight and as fast as possible. This problem is solved in a rather simple and effective way by providing the robots with a sensor that detects the direction and intensity of the traction that the turret exerts on the chassis of each robot and by evolvin...

We propose a model for learning the articulated motion of human arm. The goal is to generate plausible trajectories of joints that mimic the human movement using deformation information. The trajectories are then mapped to constraint space. These constraints can be the space of start and end configuration of the human body and task-specific constraints such as avoiding an obstacle, picking up a...

Obstacle Avoidance for a Mobile Robot A notorious problem in mobile obstacle avoidance is the detection and avoidance of obstacles. This thesis evaluates several well-known methods for controlling the motion of a mobile robot in an unknown dynamic environment. One of these methods, the Global Dynamic Window Approach, is selected and, using a laser range finder as the only range sensor, the meth...

This paper presents a controller allowing to drive a mobile robot towards a target in a cluttered environment. The proposed method combines visual servoing techniques allowing to track the target, with an obstacle avoidance strategy based on the information provided by a 2D laser range sensor. Simulation results are presented at the end of the paper.

Door passing is the basic capability of an intelligent wheelchair. This paper presents a novel approach to address the door passing issue using Bézier curve based trajectory planning. The planed path consists of two segments: one from corridor to door and the other from door to the goal position. For each segment, an optimal Bézier curve is generated as a reference trajectory for an intelligent...

We present the local path planning and obstacle avoidance method used on the autonomous tour-guide robot RoboX. It has proven its value during a 5 month operation of ten such robots in a real-world application, a very crowded exhibition. Three known approaches (DWA, elastic band, NF1) have been integrated into a system that performs smooth motion efficiently, in the sense of computational effor...

Although key components of the cerebellar circuitry relevant to classical conditioning have been identi"ed, the question how they act together is still unresolved. In this simulation study, we investigate a real-time model which captures basic anatomical and physiological properties of this system. We show that this model displays realistic learning performance over a range of inter-stimulus in...

The role of perception in sighted infant motor development is well-established, but what are the processes by which an infant manages to handle the complex high-dimensional visual input? Clearly, the input has to be modeled in terms of lowdimensional codes so that plans may be made in a more abstract space. While a number of computational studies have investigated the question of motor control,...