Cornel Mihai Nicolescu
Papers
2
Total Citations
7
H-Index
2
About
Cornel Mihai Nicolescu is a researcher whose work lies at the intersection of robotics, tactile sensing, and 3D shape recognition. His primary contributions focus on enabling dexterous robot hands to perceive and understand the physical world through touch—a critical capability for advanced manipulation and autonomous systems. In his most cited work, "Shape description of general 3D object using tactile sensing information" (2004), Nicolescu developed a novel method where multiple robotic fingers slide along an object’s surface, collecting contact points to reconstruct its three-dimensional geometry. This approach, further refined in his 2003 paper "A Shape Description Model by Using Sensor Data From Touch," offers a practical solution for robots to recognize objects without relying on vision, making it invaluable for applications in cluttered or low-visibility environments. Though his citation counts are modest—4 and 3 respectively—these papers represent foundational steps in tactile-based shape modeling, influencing subsequent research in haptic perception and robotic grasping. Nicolescu’s work underscores the importance of touch as a complementary sensing modality, paving the way for more intuitive and resilient human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Shape description of general 3D object using tactile sensing information4 citations · 2004
- 2A Shape Description Model by Using Sensor Data From Touch3 citations · 2003