Joseph Del Preto
Papers
1
Total Citations
13
H-Index
1
About
Joseph Del Preto is a roboticist whose research lies at the intersection of soft robotics, computer vision, and autonomous manipulation. His work focuses on enabling robots to interact with unstructured environments more intuitively and robustly, particularly through the use of deformable, compliant hands. In his highly cited 2017 paper, "Using Vision for Pre- and Post-grasping Object Localization for Soft Hands" (13 citations), Del Preto introduced a novel framework that leverages visual feedback both before and after a grasp to improve object localization and handling with soft grippers. This contribution addresses a critical challenge in robotic manipulation: the inherent uncertainty of grasping deformable or unknown objects. By integrating vision with soft hardware, his research helps bridge the gap between perception and action, paving the way for more adaptive and safe robots in applications ranging from manufacturing to assistive care. Del Preto’s work is recognized for its practical impact, offering a scalable approach to enhance the reliability of soft robotic systems in real-world tasks.
Research Focus
Key Achievements
Top Papers
- 1Using Vision for Pre- and Post-grasping Object Localization for Soft Hands13 citations · 2017