Adaptive Grasping with Tactile Sensing for Robotic Fruit Harvesting

Robotic fruit harvesting faces a big challenge because of the complex and ever-changing environment. This research looked into why the current harvesting methods are not effective and developed intelligent adaptive grasping approaches to improve the performance. A new grasping strategy was introduced and thoroughly tested in real-world conditions. The method used suction assistance and a hybrid soft robot hand, which showed remarkable adaptability during extensive field tests. Additionally, the research explored the use of advanced touch sensing to make robotic fruit harvesting even better.