Understanding the Complexity of Robotic Motion Planning: Challenges and Advances

EasyChair Preprint 11533

Abstract

Robotic motion planning is a critical aspect of autonomous systems, enabling robots to navigate and interact with their environment effectively. This research paper explores the multifaceted landscape of robotic motion planning, shedding light on the challenges faced by researchers and engineers in developing efficient and reliable algorithms. The paper also discusses recent advances and innovative solutions that contribute to overcoming these challenges. By delving into the intricacies of robotic motion planning, this research aims to provide a comprehensive understanding of the field's current state and future directions.

Keyphrases: heuristic algorithms, metaheuristic optimization, optimization methods

@booklet{EasyChair:11533,
  author    = {Smith Milson and Chris Liu},
  title     = {Understanding the Complexity of Robotic Motion Planning: Challenges and Advances},
  howpublished = {EasyChair Preprint 11533},
  year      = {EasyChair, 2023}}