Motion Plan

Motion planning in robotics focuses on generating safe and efficient paths for robots to navigate complex environments and achieve desired tasks. Current research emphasizes hybrid approaches combining discrete task planning with continuous motion generation, often employing algorithms like rapidly-exploring random trees (RRTs) and their variants, and incorporating feedback control for robustness in dynamic settings. These advancements are crucial for enabling robots to perform increasingly complex manipulations and interactions in unstructured real-world scenarios, improving efficiency and reliability in applications ranging from warehouse automation to assistive technologies.