A review of recent trend in motion planning of industrial robots

• Published in: International journal of intelligent robotics and applications Online Vol. 7; no. 2; pp. 253 - 274
• Main Authors: Tamizi, Mehran Ghafarian, Yaghoubi, Marjan, Najjaran, Homayoun
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.06.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Computer Science; Configuration space path planning; Control; Deep learning; Electronics and Microelectronics; Heuristic; Heuristic methods; Industrial robots; Instrumentation; Keywords; Machine learning; Machines; Manipulators; Manufacturing; Mechatronics; Methods; Motion planning; Optimization; Planning; Potential fields; Processes; Regular Paper; Robot arms; Robot dynamics; Robot learning; Robotics; Trends; User Interfaces and Human Computer Interaction; Motion planning; Deep learning; Reinforcement learning; Artificial potential field; Learning by demonstration; Sampling-based algorithms; Bio-inspired heuristic methods

Motion planning is an integral part of each robotic system. It is critical to develop an effective motion in order to achieve a successful performance. The ability to generate a smooth, optimal, and precise trajectory is crucial for a robotic arm to accomplish a complex task. Classical approaches su...