Obstacle Avoidance of Swarms Using Pinning Control

Bioinspired Obstacle Avoidance Algorithms for Robot Swarms

Recent work in socio-biological sciences have introduced simple heuristics that accurately explain the behavior of pedestrians navigating in an environment while avoiding mutual collisions. We have adapted and implemented such heuristics for distributed obstacle avoidance in robot swarms, with the goal of obtaining human-like navigation behaviors which would be perceived as friendly by humans s...

Obstacle avoidance for an autonomous vehicle using force field method

This paper presents a force field concept for guiding a vehicle at a high speed maneuver. This method is  similar to potential field method. In this paper, motion constrains like vehicles velocity, distance to obstacle and tire conditions and such lane change conditions as zero slop condition and zero lateral acceleration are discussed. After that, possible equations as vehicles path ar...

Obstacle Avoidance Using Stereo Camera

In this paper we present a novel method for obstacle avoidance using the stereo camera. The conventional obstacle avoidance methods and their limitations are discussed. A new algorithm is developed for the real-time obstacle avoidance which responds faster to unexpected obstacles. In this approach the depth map is divided into optimized number of regions and the minimum depth at each section is...

Obstacle avoidance control for redundant manipulators using collidability measure

We present an efficient obstacle avoidance control algorithm for redundant manipulators using a new measure called collidability measure. Considering moving directions of manipulator links, the collidability measure is defined as the sum of inverse of predicted collision distances between links and obstacles: This measure is suitable for obstacle avoidance since directions of moving links are a...

Autonomous robot obstacle avoidance using a fuzzy logic control scheme