Branch Interference Sensing and Handling by Tactile Enabled Robotic Apple Harvesting
Congratulations to Hugh and the co-authors on the acceptance of “Branch Interference Sensing and Handling by Tactile Enabled Robotic Apple Harvesting” by the Journal of Agronomy! This research work proposed a tactile-enabled robotic grasping method combining deep learning, tactile sensing, and soft robots. By integrating fin-ray fingers with embedded tactile sensing arrays and customised perception algorithms, the robot gains the ability to sense and handle branch interference during the harvesting process and thus reduce potential mechanical fruit damage. For details, please visit: https://www.mdpi.com/2073-4395/13/2/503
