Jose Barreiros
Papers
8
Total Citations
568
H-Index
5
About
Jose Barreiros is a researcher whose work spans soft robotics, stretchable sensing, haptic perception, and embodied artificial intelligence — fields at the frontier of how machines physically interact with the world. His most influential contribution, "Stretchable Distributed Fiber-Optic Sensors" (2020), has garnered over 460 citations and fundamentally advanced the integration of distributed sensing into soft and deformable systems, unlocking new possibilities for strain, pressure, and vibration monitoring in flexible structures previously incompatible with traditional sensor technologies. Barreiros has also made significant strides in robotic haptics, developing optoelectronic "robotic flesh" capable of multimodal whole-body sensing — work that has attracted over 60 citations and pushes the boundary of artificial tactile perception. His research extends into reinforcement learning for whole-body robot manipulation, tactile-integrated multimodal representation learning, and human-computer interaction through actuated materials, reflecting a rare breadth that bridges hardware innovation with machine intelligence. Early contributions exploring tendon-driven soft actuators and kinesthetic feedback in virtual reality further demonstrate his commitment to translating soft robotics principles into practical, embodied systems. Barreiros represents a new generation of researchers reimagining how robots sense, move, and interact with the physical world.
Research Focus
Key Achievements
Top Papers
- 1Stretchable distributed fiber-optic sensors462 citations · 2020
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- 6Multi-Modal Representation Learning with Tactile Data4 citations · 2024
- 7Stretchable transducers for kinesthetic interactions in virtual reality3 citations · 2017
- 8Plan-Guided Reinforcement Learning for Whole-Body Manipulation2 citations · 2023