TY - GEN
T1 - A Dual-Shear Ring End-Effector for Autonomous Pomegranate Harvesting
AU - Ma, Peifeng
AU - Zhu, Aibin
AU - Mao, Han
AU - Li, Dangchao
AU - Xu, Rui
AU - Wang, Jing
AU - Zhang, Yu
AU - Li, Meng
AU - Song, Jiyuan
AU - Tu, Yao
AU - Wu, Xue
AU - Dong, Xia
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Pomegranate harvesting remains a challenging task due to the fruit's tough stem, dense canopy, and sensitivity to mechanical damage. Traditional harvesting robots rely on vision-based stem localization, which increases computational complexity and reduces robustness in unstructured orchard environments. This paper presents a dual-shear ring end-effector designed to eliminate the need for precise stem detection, utilizing a self-locking shear mechanism that allows the stem to naturally align between the cutting blades. The system integrates a vision-assisted robotic manipulator for fruit detection and a torque regulation mechanism for optimized cutting force application. Experimental validation demonstrates a success rate of over 90% for stems up to 8 mm in diameter and robust performance even under partial and full occlusion conditions. The results confirm that the proposed system achieves efficient, adaptable, and damage-free harvesting, providing a viable solution for autonomous pomegranate harvesting.
AB - Pomegranate harvesting remains a challenging task due to the fruit's tough stem, dense canopy, and sensitivity to mechanical damage. Traditional harvesting robots rely on vision-based stem localization, which increases computational complexity and reduces robustness in unstructured orchard environments. This paper presents a dual-shear ring end-effector designed to eliminate the need for precise stem detection, utilizing a self-locking shear mechanism that allows the stem to naturally align between the cutting blades. The system integrates a vision-assisted robotic manipulator for fruit detection and a torque regulation mechanism for optimized cutting force application. Experimental validation demonstrates a success rate of over 90% for stems up to 8 mm in diameter and robust performance even under partial and full occlusion conditions. The results confirm that the proposed system achieves efficient, adaptable, and damage-free harvesting, providing a viable solution for autonomous pomegranate harvesting.
UR - https://www.scopus.com/pages/publications/105024552597
U2 - 10.1109/RO-MAN63969.2025.11217694
DO - 10.1109/RO-MAN63969.2025.11217694
M3 - 会议稿件
AN - SCOPUS:105024552597
T3 - IEEE International Workshop on Robot and Human Communication, RO-MAN
SP - 237
EP - 242
BT - 2025 34th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2025
PB - IEEE Computer Society
T2 - 34th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2025
Y2 - 25 August 2025 through 29 August 2025
ER -