This paper is published in Volume-10, Issue-5, 2024
Area
ROBOTICS AND AUTOMATION
Author
Thinalisha M, Yogesh Vk, Subanesh V
Org/Univ
PSG College of Technology, Coimbatore, India
Keywords
Collision Avoidance, Cartesian Path Planning, Robotics, Real-Time Performance, Optimization Techniques, Sampling-Based Planners, Machine Learning Models.
Citations
IEEE
Thinalisha M, Yogesh Vk, Subanesh V. Obstacle Avoidance in Mobile Robots: Algorithms, Optimization Techniques, and Analysis, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Thinalisha M, Yogesh Vk, Subanesh V (2024). Obstacle Avoidance in Mobile Robots: Algorithms, Optimization Techniques, and Analysis. International Journal of Advance Research, Ideas and Innovations in Technology, 10(5) www.IJARIIT.com.
MLA
Thinalisha M, Yogesh Vk, Subanesh V. "Obstacle Avoidance in Mobile Robots: Algorithms, Optimization Techniques, and Analysis." International Journal of Advance Research, Ideas and Innovations in Technology 10.5 (2024). www.IJARIIT.com.
Thinalisha M, Yogesh Vk, Subanesh V. Obstacle Avoidance in Mobile Robots: Algorithms, Optimization Techniques, and Analysis, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Thinalisha M, Yogesh Vk, Subanesh V (2024). Obstacle Avoidance in Mobile Robots: Algorithms, Optimization Techniques, and Analysis. International Journal of Advance Research, Ideas and Innovations in Technology, 10(5) www.IJARIIT.com.
MLA
Thinalisha M, Yogesh Vk, Subanesh V. "Obstacle Avoidance in Mobile Robots: Algorithms, Optimization Techniques, and Analysis." International Journal of Advance Research, Ideas and Innovations in Technology 10.5 (2024). www.IJARIIT.com.
Abstract
ABSTRACT: A path-planning technique for robots with obstacles is proposed. The formulation of the issue is in Cartesian space. A map of possible robot configurations is obtained by the application of nonlinear programming techniques. Next, a weighted graph is linked to the map, and a search algorithm is employed to identify a series of robot configurations that avoid collisions between two pre-selected points. Spatial robotic manipulators and redundant planar robotic manipulators with prismatic and revolute joints have both benefited from the application of this approach.
