Soheil Khatibi
Papers
4
Total Citations
8
H-Index
2
About
Soheil Khatibi is a roboticist at the forefront of tactile sensing and dexterous manipulation, working to bridge the gap between human-like touch and autonomous robotic control. His research centers on equipping robots with the tactile awareness needed to operate in unstructured, visually occluded environments—a critical challenge for real-world assembly and disassembly tasks. Khatibi’s major contributions include the development of the BioIn-Tacto sensor module and the creation of novel multimodal datasets for peg extraction and texture classification on uneven surfaces. These datasets, already accumulating citations, provide the foundational benchmarks needed to advance tactile-based learning. Notably, his work on extracting non-regular pegs combines tactile feedback with reinforcement learning from human demonstrations, enabling robots to adapt trajectories where cameras fail. A champion of the RoboCup 2019 Humanoid TeenSize League with the MRL team, Khatibi demonstrates both competitive engineering and deep research impact. His growing citation record reflects a rising influence in tactile robotics, promising safer, more adaptive machines that can feel their way through complex tasks.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3MRL Champion Team Paper in Humanoid TeenSize League of RoboCup 20192 citations · 2019
- 4