Timothy Man
Papers
3
Total Citations
82
H-Index
3
About
Timothy Man is a leading researcher in the field of robotic perception, specializing in the intersection of vision-based tactile sensing and dexterous manipulation. His work focuses on the design, simulation, and application of high-resolution tactile sensors that enable robots to perform precise in-hand manipulation and safe human-robot interaction. Man’s major contributions include pioneering the use of physically based rendering to simulate vision-based tactile sensors, a breakthrough that addresses the longstanding challenge of accurately modeling sensor behavior before physical fabrication. His 2021 paper, “Simulation of Vision-based Tactile Sensors using Physics based Rendering,” has garnered 42 citations, establishing a foundational methodology for the field. He further advanced the domain by demonstrating how collocating vision and tactile sensors can enhance visual servoing and object localization, as shown in his 2022 work (27 citations). Notably, his 2025 paper on sensor design using physically based rendering (13 citations) provides a systematic framework for optimizing optical elements, making sensor development more efficient. Man’s research is instrumental in bridging the gap between simulation and real-world tactile sensing, with direct implications for robotic manipulation in manufacturing, healthcare, and service robotics.
Research Focus
Key Achievements
Top Papers
- 1Simulation of Vision-based Tactile Sensors using Physics based Rendering42 citations · 2021
- 2
- 3Vision-based tactile sensor design using physically based rendering13 citations · 2025