Design of an End-effector with Application to Avocado Harvesting
Zhou, Jingzong, Song, Xiaoao, Karydis, Konstantinos
–arXiv.org Artificial Intelligence
Robot-assisted fruit harvesting has been a critical research direction supporting sustainable crop production. One important determinant of system behavior and efficiency is the end-effector that comes in direct contact with the crop during harvesting and directly affects harvesting success. Harvesting avocados poses unique challenges not addressed by existing end-effectors (namely, they have uneven surfaces and irregular shapes grow on thick peduncles, and have a sturdy calyx attached). The work reported in this paper contributes a new end-effector design suitable for avocado picking. A rigid system design with a two-stage rotational motion is developed, to first grasp the avocado and then detach it from its peduncle. A force analysis is conducted to determine key design parameters. Preliminary experiments demonstrate the efficiency of the developed end-effector to pick and apply a moment to an avocado from a specific viewpoint (as compared to pulling it directly), and in-lab experiments show that the end-effector can grasp and retrieve avocados with a 100% success rate.
arXiv.org Artificial Intelligence
Jul-1-2024
- Country:
- North America > United States > California > Riverside County > Riverside (0.04)
- Genre:
- Research Report > New Finding (0.93)
- Industry:
- Food & Agriculture > Agriculture (1.00)
- Technology:
- Information Technology > Artificial Intelligence > Robots (1.00)