Papers
3
Total Citations
20
H-Index
3
About
Adrian Petrescu is a robotics researcher whose work focuses on advancing tactile sensing and telemanipulation for robotic systems. His key research areas include biomimetic tactile sensors, sensor signal processing, and human-robot interaction. Petrescu’s major contributions center on enabling robots to perform dexterous object manipulation by mimicking human tactile capabilities. His most cited paper, “Point of Contact Location and Normal Force Estimation Using Biomimetical Tactile Sensors” (2014, 9 citations), addresses a critical limitation in robotics—reliance on visual detection—by demonstrating how tactile sensors can estimate contact points and forces, reducing manipulation errors. In “Robot telemanipulation system” (2013, 7 citations), he developed a hybrid system that captures human motion to guide robot arms and hands, decreasing the need for complex planning algorithms. Additionally, his work on a “Tactile sensor value preprocessing pipeline” (2013, 4 citations) provides a structured approach to cleaning raw sensor data, overcoming signal issues for reliable use in manipulation tasks. Though his citation counts are modest, Petrescu’s research contributes foundational methods for integrating touch into robotic systems, with potential applications in prosthetics, manufacturing, and remote surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot telemanipulation system7 citations · 2013
- 3Tactile sensor value preprocessing pipeline4 citations · 2013