Demonstrates a soft robotic gripper's ability to harvest fruit non-destructively using integrated multimodal sensing in agriculture, suggesting improved harvesting efficiency.
Key Points
To develop a soft robotic gripper that uses integrated sensory modalities for non-destructive fruit harvesting.
Developed a five-finger soft robotic gripper with 13 integrated sensors.
Utilized vision, tactile, and curvature sensing for adaptive fruit manipulation.
Conducted real-time demonstrations in a greenhouse setting for strawberry harvesting.
Achieved 100% shape classification accuracy with real-time color detection.
Measured fruit size with below 1.8% error.
Demonstrated ability to distinguish soft from firm fruits using tactile sensors.