Raykhan Khassenova
Papers
1
Total Citations
59
H-Index
1
About
Raykhan Khassenova is a leading researcher in human-robot interaction and assistive robotics, with a focus on understanding and modeling human manipulation for real-world applications. Her key contributions lie in the creation of rich, multimodal datasets that bridge the gap between human dexterity and robotic grasping. Her most cited work, the "Human grasping database for activities of daily living" (2018, 59 citations), is a landmark resource that captures depth, color, and kinematic data from multiple subjects performing unstructured daily tasks. This database’s strength—integrating three sensing modalities from head-mounted cameras and depth sensors—has made it an essential benchmark for developing more intuitive and adaptive robotic hands. Beyond this, Khassenova’s research advances the design of perception and control systems that enable robots to assist in homes and healthcare settings. Her work is widely recognized for its practical impact, providing foundational tools that empower other researchers to push the boundaries of autonomous manipulation and human-centered robotics.
Research Focus
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Top Papers
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