Jeremy A. Collins
Papers
4
Total Citations
27
H-Index
4
About
Jeremy A. Collins is a leading researcher at the intersection of computer vision and soft robotics, pioneering methods to give robots a sense of touch through sight. His core contributions center on **visual force and pressure estimation**—replacing expensive, fragile physical sensors with camera-based perception. Collins’s most influential work, “Force/Torque Sensing for Soft Grippers using an External Camera” (2023, 10 citations), introduces Visual Force/Torque Sensing (VFTS), enabling 6-axis force estimation from a single external camera. He further advanced this paradigm with “Visual Pressure Estimation and Control for Soft Robotic Grippers” (2022, 7 citations), which demonstrated closed-loop pressure control for precision manipulation. His latest breakthrough, “ForceSight: Text-Guided Mobile Manipulation with Visual-Force Goals” (2024, 6 citations), combines vision transformers with natural language commands to predict both kinematic and force goals, enabling robots to follow instructions like “gently pick up the egg.” Collins’s work has been recognized for its practical impact, with his “Visual Contact Pressure Estimation for Grippers in the Wild” (2023, 4 citations) showing robust performance in unstructured environments. By making force sensing accessible and robust, Collins is democratizing tactile intelligence for soft robots, with direct applications in manufacturing, healthcare, and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Force/Torque Sensing for Soft Grippers using an External Camera10 citations · 2023
- 2Visual Pressure Estimation and Control for Soft Robotic Grippers7 citations · 2022
- 3ForceSight: Text-Guided Mobile Manipulation with Visual-Force Goals6 citations · 2024
- 4Visual Contact Pressure Estimation for Grippers in the Wild4 citations · 2023