4 papers
GDA-YOLO11: Amodal Instance Segmentation for Occlusion-Robust Robotic Fruit Harvesting
Caner Beldek, Emre Sariyildiz, Son Lam Phung +1
Occlusion remains a critical challenge in robotic fruit harvesting, as undetected or inaccurately localised fruits often results in substantial crop losses. To mitigate this issue,…
Multi-vision-based Picking Point Localisation of Target Fruit for Harvesting Robots
C. Beldek, A. Dunn, J. Cunningham +3
This paper presents multi-vision-based localisation strategies for harvesting robots. Identifying picking points accurately is essential for robotic harvesting because insecure gra…
Sensing-based Robustness Challenges in Agricultural Robotic Harvesting
C. Beldek, J. Cunningham, M. Aydin +3
This paper presents the challenges agricultural robotic harvesters face in detecting and localising fruits under various environmental disturbances. In controlled laboratory settin…
Variable Stiffness Improves Safety and Performance in Soft Robotics
Mert Aydin, Emre Sariyildiz, Charbel Dalely Tawk +2
This paper proposes a new variable stiffness soft gripper that enables high-performance grasping tasks in industrial applications. The design of the proposed monolithic soft grippe…