Avoiding moving obstacles

Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles

This paper presents a technique for an intelligent robot to adaptively behave in unforeseen and dynamic circumstances. Since the traditional methods utilized the relatively reliable information about the environment to control intelligent robots, they were robust but could not behave adaptively in complex and dynamic world. On the contrary, behavior-based approach is suitable for generating aut...

Motion Coordination in Dynamic Environments: Reaching a Moving Goal while Avoiding Moving Obstacles

An Algorithm for Moving a Computer-Controlled Manipulator While Avoiding Obstacles

In programming a computer to control a manipulator, the problem of avoiding obstacles present in the environment must be faced. This paper presents a simple world model containing the manipulator as well as obstacles, and describes an algorithm for guiding the manipulator to a specified destination point while avoiding collisions with obstacles. The algorithm combines a number of heuristics wit...

Smooth Formation Navigation of Multiple Mobile Robots for Avoiding Moving Obstacles

This paper addresses a formation navigation issue for a group of mobile robots passing through an environment with either static or moving obstacles meanwhile keeping a fixed formation shape. Based on Lyapunov function and graph theory, a NN formation control is proposed, which guarantees to maintain a formation if the formation pattern is , k C 1. k ≥ In the process of navigation, the leader c...

Avoiding obstacles using a connectionist network

In this article, visual data obtained by a binocular active vision system is integrated, together with ultrasonic range measurements; in the development of a obstacle detection and avoidance system based on a connectionist grid. The traditional notion of probabilistic occupation grid is extended through the use of a three-layer structure of connectionist networks which allows the integration of...