Potential field methods are rapidly gaining popularity in obstacle avoidance applications for mobile robots and manipulators. While the potential field principle is particularly attractive because of its elegance and simplicity, substantial shortcomings have been identified as problems that are inherent to this principle. Based upon mathematical analysis, this paper presents a systematic critic...

Helicopter crews are required to carry out a wide range of duties most of which involve operational safety. One particular flight safety problem that has relevance to a variety of different types of rotorcraft is assisting the pilot in obstacle avoidance. Obstacles, in this context, may typically include other aircraft, terrain features, buildings, bridges, overhead cables and poles. The proble...

Whether a task can be completed after a failure of one of the degrees-of-freedom of a redundant manipulator depends on the joint angle at which the failure takes place. It is possible to achieve fault tolerance by globally planning a trajectory that avoids unfavorable joint positions before a failure occurs. In this paper, we present a trajectory planning algorithm that guarantees fault toleran...

Given two compact, simply connected manifolds with boundary, and a navigation function (NF) on each manifold, this paper presents a simple composition law that yields a new NF on the cross product space. The method provides tunable “hooks” for shaping the new potential function while still guaranteeing obstacle avoidance and essentially global convergence. The composition law is associative, an...

We describe a vision-based obstacle avoidance system for off-road mobile robots. The system is trained from end to end to map raw input images to steering angles. It is trained in supervised mode to predict the steering angles provided by a human driver during training runs collected in a wide variety of terrains, weather conditions, lighting conditions, and obstacle types. The robot is a 50cm ...

Today’s world contain of a large variation of people. Mostly disability person is depends upon other for their living. But in the today’s fast developing world, people is busy in work so that they don’t have enough time for physically challenged people.The main aim this system physically challenged people can move inside the home without any trouble. In this system voice recognition system used...

Manipulator control based on the artificial potential fields method has been shown to be a good solution for real-time obstacle avoidance and navigation in complex, dynamic environments. This paper presents an implementation of this approach for a Mitsubishi RV-6S industrial robot with an emphasis on the use for obstacle avoidance. The robot is able to perform simple navigation tasks while avoi...

Time-to-collision can be directly measured from a spatio-temporal image sequence obtained from an uncalibrated camera. This it would appear to offer a simple, elegant measurement for use in obstacle avoidance. However, previous techniques for computing time to collision from an optical flow have proven impractical for real applications. This paper present a new approach for computing time to co...

Service robotics is a new, emerging domain in robotics, characterised by enthusiasm, diverseness, and emerging industry. The paper presents modular and interacting obstacle avoidance, and navigation subsystems. The obstacle avoidance system is older, so there are practical experiences of its application to electric wheelchairs, which are explained. Ongoing work with the navigation unit is revie...

This work presents an approach to the obstacle avoidance problem, applicable in the frame of driver assistance. A decision, expressed as a proposed acceleration vector for the vehicle, is elaborated from the evaluation of a set of indicators characterizing the global state of a system of reactive agents (RMAS). Those agents evolve in a virtual environment produced on the base of vehicle’s perce...