Papers
8
Total Citations
534
H-Index
7
About
G. De Maria is a leading researcher in robotic manipulation, sensor design, and human-robot interaction. His work centers on developing advanced tactile and force sensors that enable robots to perceive and interact with their environment more safely and dexterously. A key contribution is the DEXMART hand, an innovative anthropomorphic robotic hand that uses synergy-based control for human-like grasping, detailed in a highly cited 2014 paper (178 citations). De Maria’s force/tactile sensor for robotic applications, published in 2011, has garnered 198 citations, underscoring its impact on the field. He has also advanced sensor fusion for attitude estimation (70 citations) and developed artificial skin based on optoelectronic technology (44 citations). His research addresses critical challenges in robust grasping, including modeling and calibration of tactile sensors to improve contact state estimation. Additionally, De Maria has contributed to safety in industrial environments with proximity/contact-force sensors for human-robot cooperation. His work, spanning from sliding manifold control theory to mechatronic design, demonstrates a sustained commitment to integrating sensing, actuation, and control for next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Force/tactile sensor for robotic applications198 citations · 2011
- 2
- 3Experimental Comparison of Sensor Fusion Algorithms for Attitude Estimation70 citations · 2014
- 4An artificial skin based on optoelectronic technology44 citations · 2014
- 5A sliding manifold approach to the feedback control of rigid robots14 citations · 1996
- 6
- 7Mechatronic design of innovative robot hands: Integration and control issues11 citations · 2013
- 8Modeling and Calibration of a Tactile Sensor for Robust Grasping7 citations · 2017