Dynamic obstacle avoidance in multi-robot motion planning using prediction principle in real environment
نویسندگان
چکیده
This paper provides a new approach to the multi-robot path planning problem predicting the position of a dynamic obstacle which undergoes linear motion in the given workspace changing its direction at regular intervals of time. The prediction is done in order to avoid collision of the robots with the dynamic obstacle. First the work is done in simulation environment then the entire work has been implemented on Khepera II mobile robot. The performance of the above mentioned approach has been found to be satisfactory compared to the classical non-predictive approaches of dynamic obstacle avoidance.
منابع مشابه
A Destination Driven Navigator with Dynamic Obstacle Motion Prediction
A real time navigating system, called Destination Driven Navigator, is developed. This paper presents a new obstacle representation method named Cross-Line, a new concept “work space” to reduce the robot’s search space and the environment storage cost, an Adapted Regression Model to predict the dynamic obstacles’ motion, and the Multi-State Path Repair rules to quickly translate an infeasible p...
متن کاملMulti-Robot Path Planning by Predicting Structure in a Dynamic Environment
Path planning for multiple mobile robots is complicated by the presence of a dynamic environment, in which obstacles and other robots are moving. Centralized approaches are too computationally intensive for real-time response. Decoupled approaches which perform individual preplanning, conflict resolution, and reactive obstacle avoidance for each robot, can be globally inefficient. We propose a ...
متن کاملReactive navigation in dynamic environment using a multisensor predictor
A reactive navigation system for an autonomous mobile robot in unstructured dynamic environments is presented. The motion of moving obstacles is estimated for robot motion planning and obstacle avoidance. A multisensor-based obstacle predictor is utilized to obtain obstacle-motion information. Sensory data from a CCD camera and multiple ultrasonic range finders are combined to predict obstacle ...
متن کاملObstacle Prediction–based Dynamic Path Planning for a Mobile Robot
A path-planning method based on a combination of the static global and the dynamic local pathplanning methods is proposed for robot path planning under a complex environment. There are known static obstacles and unknown dynamic obstacles in any complex environment. The local-path planner dynamically generates a local path using obstacle-motion prediction and a rolling window for dynamic path pl...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013