Papers
19
Total Citations
1,019
H-Index
10
About
Zhanat Kappassov is a robotics researcher whose work sits at the intersection of tactile sensing, robotic manipulation, and smart materials. Best known for his landmark 2015 review paper, "Tactile Sensing in Dexterous Robot Hands," which has accumulated an impressive 748 citations, Kappassov has established himself as a leading authority on how robots perceive and interact with the physical world through touch. His contributions span the full breadth of tactile technology — from novel sensor design, including optofiber-guided imaging and vibration-based contact detection, to simulation frameworks that accelerate autonomous robot development. His early work on the semi-anthropomorphic NU Hand demonstrated a practical, low-cost approach to dexterous robotic grasping, while later research explored in-hand object recognition using proprioceptive data and robust slip detection algorithms. Beyond robotics, Kappassov has expanded into advanced materials science, investigating negative stiffness honeycombs for shock absorption and triboelectric energy harvesting for wearable electronics. This breadth reflects a researcher equally comfortable bridging theoretical modeling and applied engineering. For students entering robotics or human-robot interaction, Kappassov's body of work provides an essential foundation for understanding how machines can develop a meaningful, reliable sense of touch.
Research Focus
Key Achievements
Top Papers
- 1Tactile sensing in dexterous robot hands — Review748 citations · 2015
- 2Analytical modeling and design of negative stiffness honeycombs58 citations · 2020
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- 9Robust Detection of Absence of Slip in Robot Hands and Feet11 citations · 2021
- 10Simulation of Tactile Sensing Arrays for Physical Interaction Tasks11 citations · 2020