Harris Kristanto
Papers
11
Total Citations
525
H-Index
6
About
Harris Kristanto is a robotics researcher whose work centers on tactile sensing, soft robotics, and human-robot interaction — fields critical to enabling robots to manipulate objects with human-like dexterity. He is best known as a key contributor to the **uSkin** sensor platform, a groundbreaking series of soft, distributed, three-axis tactile skin sensors designed for robot hands. His 2017 paper introducing uSkin's fingertip implementation has garnered 167 citations, while a subsequent 2018 study detailing an improved silicone structure and its integration on the humanoid robot iCub has accumulated 144 citations — together establishing uSkin as one of the most influential developments in robotic tactile sensing. Kristanto's foundational 2016 work on Hall effect-based soft skin sensors (106 citations) demonstrated an accessible, cost-effective approach to 3-axis force measurement, paving the way for his modular sensor systems and later wearable human fingertip sensors. These wearable devices reflect his broader interest in skill transfer, capturing the nuanced forces human experts exert during manipulation to inform robot imitation learning. Early career contributions to DARPA's FREND space robotics project further highlight his range. With over 500 cumulative citations, Kristanto's research significantly advances the practical integration of tactile intelligence into both robotic and human-wearable systems.
Research Focus
Key Achievements
Top Papers
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- 3Design and Characterization of a Three-Axis Hall Effect-Based Soft Skin Sensor106 citations · 2016
- 4A modular, distributed, soft, 3-axis sensor system for robot hands57 citations · 2016
- 5A Wearable Three-Axis Tactile Sensor for Human Fingertips18 citations · 2018
- 6FREND: Pushing the Envelope of Space Robotics14 citations · 2008
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