Tito Pradhono Torno
Papers
1
Total Citations
45
H-Index
1
About
Tito Pradhono Torno is a leading researcher in robotic tactile sensing and dexterous manipulation, with a primary focus on advancing object recognition through active touch. His most influential work, "Object Recognition Through Active Sensing Using a Multi-Fingered Robot Hand with 3D Tactile Sensors" (2018, 45 citations), demonstrates how densely distributed triaxial force vector measurements from uSkin sensors embedded in an Allegro Hand can dramatically improve robotic object identification. Torno’s key contribution lies in systematically evaluating which tactile information is most beneficial for recognition, bridging the gap between raw sensor data and intelligent robotic perception. His research has significant implications for prosthetics, industrial automation, and human-robot interaction, where precise tactile feedback is critical. By integrating high-resolution tactile arrays with active exploration strategies, Torno has helped establish a framework for robots to perceive objects as humans do—through touch. His work continues to inspire advances in soft robotics and sensor design, making him a pivotal figure in the quest for truly dexterous, perceptive robotic hands.
Research Focus
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Top Papers
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