A lab-customized autonomous humanoid apple harvesting robot

Xiaojun Yu, Zeming Fan, Xingduo Wang, Hao Wan, Pengbo Wang, Xilei Zeng, Feng Jia

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

This paper presents an autonomous humanoid robot, namely, LABOR, for apple harvesting. Comprised of a binocular camera, a humanoid dual-arm operating system, and a mobile vehicle platform, the devised robot is capable of identifying, positioning, grasping, and picking up apples via its vision identification and dual-arm harvesting systems. Both the robot structure design and the functional systems, as well as their implementations are described in detail and were verified via experiments in a simulated orchard environment. Results show success rates of 82.5% and 72% for the apple recognition and harvesting functions respectively, and the average apple harvesting time was approximately 14.6 s. The wide flexibility and high scalability in the robotic structure, dual-arm coordinate control, and independent harvest planning may facilitate its application in agriculture for the harvesting of other fruits, such as tomatoes, pomegranates, and pears.

Original languageEnglish
Article number107459
JournalComputers and Electrical Engineering
Volume96
DOIs
StatePublished - Dec 2021

Keywords

  • Agricultural robotics
  • Dual-arm manipulator
  • Fruit harvesting
  • Humanoid robot
  • Image recognition

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