Low Cost Obstacle Avoidance Robot
نویسنده
چکیده
52 Abstract— This paper deals with a low cost solution to obstacle avoidance for a mobile robot. This paper also presents a dynamic steering algorithm which ensures that the robot doesn't have to stop in front of an obstacle which allows robot to navigate smoothly in an unknown environment, avoiding collisions. The obstacle avoidance strategy has been described. Obstacle avoidance strategy and working of robot is greatly dependent on the detection of obstacles by sensors and corresponding response of robot. Working principle of sensors, limitation of their use and obstacle avoidance algorithm has been discussed in detail.
منابع مشابه
Direct Optimal Motion Planning for Omni-directional Mobile Robots under Limitation on Velocity and Acceleration
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...
متن کاملDynamic Obstacle Avoidance by Distributed Algorithm based on Reinforcement Learning (RESEARCH NOTE)
In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...
متن کاملVision-based obstacle avoidance for a small, low-cost robot
This paper presents a vision-based obstacle avoidance algorithm for a small indoor mobile robot built from low-cost, and off-the-shelf electronics. The obstacle avoidance problem in robotics has been researched extensively and there are many well established algorithms for this problem. However, most of these algorithms are developed for large robots with expensive, specialised sensors, and pow...
متن کاملDesigning Path for Robot Arm Extensions Series with the Aim of Avoiding Obstruction with Recurring Neural Network
In this paper, recurrent neural network is used for path planning in the joint space of the robot with obstacle in the workspace of the robot. To design the neural network, first a performance index has been defined as sum of square of error tracking of final executor. Then, obstacle avoidance scheme is presented based on its space coordinate and its minimum distance between the obstacle and ea...
متن کاملApplying Evolutionary Optimisation to Robot Obstacle Avoidance
This paper presents an artificial evolutionbased method for stereo image analysis and its application to real-time obstacle detection and avoidance for a mobile robot. It uses the Parisian approach, which consists here in splitting the representation of the robot's environment into a large number of simple primitives, the “flies”, which are evolved following a biologically inspired scheme and g...
متن کامل