Path Planning and Obstacle Avoidance for Mobile Manipulator Robots

Yuwei Pan

doi:10.54097/tvehm409

Authors

Yuwei Pan

DOI:

https://doi.org/10.54097/tvehm409

Keywords:

Mobile manipulator robots, Path planning, Obstacle avoidance, Coordination efficiency.

Abstract

Mobile manipulator robots have been instrumental in a number of industries and have been applied in manufacturing, logistics, energy, and medicine, especially during this period of rapid technological development worldwide. They can also address a variety of challenges that arise from keeping up with the times. However, mobile manipulator robots frequently struggle with insufficient positioning ability, inadequate computational efficiency, and difficulty functioning effectively in dynamic and shifting circumstances where path planning is disrupted by external factors. Regarding the aforementioned issues, this article will discuss four strategies to enhance the balance between robotic arms and AMR as well as the mobile manipulator robot‘s capacity to avoid obstacles. For ongoing development, better coordination between robotic and AMR platforms can result in higher working efficiency for specific tasks, which can raise industries‘ output capacities. At the same time, the development of mobile manipulator robots might alleviate the strain caused by the decrease in the labor force across many industries. Finally, there is a growing trend that mobile manipulator robots can solve complicated tasks, promoting the diversity of industrialized robots and providing convenience for people‘s lives.

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