The sensor is also presumed to be able to obtain complete obstacle information in order for the algorithm to work perfectly in the simulation. In practice, however, applications of the algorithms on mobile robots are not straightforward as the robots generally have limited mobility due to ...
Juan Pablo Fuentes Brea, Dario Maravall, Javier de Lope," Visual Bug Algorithm for Simultaneous Robot Homing and Obstacle Avoidance Using Visual Topological Maps in an Unmanned Ground Vehicle", Conference: IWINAC 2015 Bioinspired Computation in Artificial Systems Lecture Notes in Computer Science, At...
It provides real time obstacle avoidance, compatible with LIDAR sensor and fast enough to be implemented on embedded microcontrollers. The used algorithm is based on a modification for existing path planning and obstacle voidance algorithms (Bug1, Bug2, Tangent-Bug, K-Bug, Dist-Bug ...etc.),...
This proposed ModifiedCriticalPointBug(MCPB) algorithm, is a new Bug algorithm for path planning of mobile robots. This algorithm is carried out by the robot after regular interval, thus permitting the robot to correct its path if a new obstacle comes into the path or the old one move in ...
Aiming at the existing limitation in visual obstacle avoidance for mobile robot, a robot obstacle avoidance method based on deep convolutional neural network and Bug algorithm is proposed by combining deep learning algorithm with path planning technology. In this method,...
The invention discloses a Matlab simulation visualized platform of a vehicle Bug obstacle avoidance algorithm. The platform comprises an environmental map generation part, a Simulink algorithm simulation realization part and a GUI animation simulation effect interface, each of the parts and interface is ...
Tangentbug algorithm requires the robot to select the moving point by the distance of the intersection of the partial scanned tangent picture, thus the algorithm is simple and of high real-time characteristics. Robot obstacle avoidance game is a regular event of FIRA ROBO WORLD CUP (Robot World...
This paper deals with mobile robot path planning in a static environment with obstacle avoidance for open field layout production environment with tangent bug algorithm through image processing. Here, a Mat lab code has been written to process the image of the working environment for identifying the...
In this paper, an improved tangent bug (I-TB) algorithm specifically designed for obstacle avoidance of a four-wheeled mobile-robot is presented. The I-TB algorithm utilizes point cloud data to detect obstacles and provides a desired reference for obstacle avoidance. This algorithm is integrated ...
This has been achieved by continuously considering the goal position during obstacle avoidance. The proposed algorithm is computationally inexpensive and easy to tune. The paper also presents the performance comparison of IBA and reported Bug algorithms. Simulation results of robot navigation in an ...