Tiago Paulino
Papers
4
Total Citations
115
H-Index
3
About
Tiago Paulino is a robotics researcher whose work sits at the intersection of soft robotics, tactile sensing, and physical human-robot interaction (pHRI). His primary research areas include the development of low-cost tactile sensors, human-aware robotic manipulation, and the estimation of object properties through touch. Paulino’s most cited work, “Low-cost 3-axis soft tactile sensors for the human-friendly robot Vizzy” (2017, 91 citations), introduces an innovative, easy-to-fabricate magnetic-based tactile sensor that enables robots to detect multi-directional forces—a foundational contribution to accessible and robust haptic feedback. Building on this, his research on natural handshakes for social robots (2018, 15 citations) advances pHRI by integrating tactile sensing with compliant control to achieve human-like hand grasps. Paulino has also made notable strides in robotic perception, developing methods to estimate lightweight objects’ mass during precision grips (2019, 7 citations) and using skin-like sensors for weight estimation (2017). These contributions are critical for enabling robots to interact safely and intuitively with humans and uncertain environments. His work is widely recognized for bridging low-cost hardware design with sophisticated sensing algorithms, making tactile robotics more practical and scalable.
Research Focus
Key Achievements
Top Papers
- 1Low-cost 3-axis soft tactile sensors for the human-friendly robot Vizzy91 citations · 2017
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- 4Estimating Objects’ Weight in Precision Grips Using Skin-Like Sensors2 citations · 2017