Research status and prospect of key technologies of fruit picking manipula-tor
Research on picking robots plays an important role in promoting the development of fruit industry.Motion planning and hardware structure of fruit picking manipulator are the key technologies of the picking robot,which affect the picking efficiency and fruit quality.This paper analyzed the advantages and shortcomings of motion planning algorithms such as traditional motion planning algorithm,motion planning algorithm based on biological intelligence,motion planning algo-rithm based on probability sampling and motion planning algorithm based on deep reinforcement learning.At the same time,the current status of research and development of the hardware structure of the picking manipulator were summarized.The problems of low picking efficiency,low planning algorithm efficiency,high system cost and single picking object were point-ed out.The future research of fruit picking robot was prospected.This paper provides a reference for future research and de-velopment of picking robot.
fruit picking robotmanipulatormotion planningend-effector
NETL
NSTL
万方数据
