Nicolas Gorges
Papers
10
Total Citations
352
H-Index
5
About
Nicolas Gorges is a leading figure in the field of robotic haptics and dexterous manipulation, whose work has fundamentally advanced how anthropomorphic and humanoid robots perceive and interact with their environment. His research centers on developing multi-sensory tactile feedback systems and intelligent algorithms for haptic object recognition. Gorges’ major contributions include pioneering the use of passive joints in tactile sensor systems to improve surface conformity, as detailed in his highly cited 2010 work (103 citations), and creating a versatile, fully integrated tactile sensing "construction kit" for robotic hands (98 citations). He is also renowned for his innovative multi-sensor approach to complex tasks, such as enabling a humanoid robot to open unknown doors using combined tactile and visual feedback (74 citations). By extracting key features from tactile and kinesthetic data, Gorges has developed robust methods for object recognition that allow robots to understand their world through touch. His work on reactive hand-arm coordination using extended Petri-nets further showcases his impact on seamless, autonomous robot control. With over 350 total citations, Gorges’ research remains essential reading for anyone working in robotic perception, manipulation, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Haptic object recognition using passive joints and haptic key features103 citations · 2010
- 2
- 3Opening a door with a humanoid robot using multi-sensory tactile feedback74 citations · 2008
- 4Haptic object recognition for multi-fingered robot hands48 citations · 2012
- 5Haptic object recognition using statistical point cloud features16 citations · 2011
- 6
- 7
- 8Analysis of tactile imprints for multi-fingered robot hands2 citations · 2014
- 9
- 10Grasping and guiding a human with a humanoid robot2 citations · 2008