V. Chiroiu
Papers
2
Total Citations
7
H-Index
2
About
V. Chiroiu is a researcher whose work lies at the intersection of robotics, tactile sensing, and 3D object recognition. Their primary research focus is on developing methods for robots to perceive and understand the physical world through touch, specifically by using dexterous robotic hands to explore unknown objects. Chiroiu’s major contributions include pioneering approaches for shape description of general 3D objects using tactile sensing information. In their most-cited paper (2004, 4 citations), they introduced a technique where multiple robotic fingers slide along an object’s surface, extracting contact points to build a 3D point cloud representation. This work, along with a closely related 2003 paper (3 citations), established foundational methods for tactile-based shape recognition, enabling robots to identify objects without relying on vision. While the citation counts are modest, these papers represent early and important steps in haptic perception, a field critical for advanced manipulation in unstructured environments. Chiroiu’s research has implications for prosthetics, industrial automation, and human-robot interaction, demonstrating how touch can serve as a powerful sensory modality for robotic intelligence.
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