Olzhas Adiyatov
Papers
8
Total Citations
311
H-Index
6
About
Olzhas Adiyatov is a leading roboticist whose research spans motion planning, compliant actuation, and tactile sensing. He is best known for pioneering memory-efficient and dynamic variants of the RRT* algorithm, including the widely cited “Rapidly-exploring random tree based memory efficient motion planning” (117 citations) and “A novel RRT*-based algorithm for motion planning in Dynamic environments” (112 citations). These works introduced strategies to limit tree growth and handle non-static obstacles, significantly advancing practical deployment of sampling-based planners. In the domain of actuation, Adiyatov has made key contributions to variable stiffness actuated (VSA) robots, developing nonlinear model predictive control (26 citations) and moving horizon estimation for sensor reduction (7 citations). His work on compliant actuation for energy-efficient impedance modulation (29 citations) addresses a critical gap in next-generation autonomous and prosthetic systems. Additionally, he has designed a series elastic tactile sensing array (14 citations) for exploring deformable and rigid objects. With over 300 total citations, Adiyatov’s research continues to shape efficient, safe, and adaptive robotic systems for real-world interaction.
Research Focus
Key Achievements
Top Papers
- 1Rapidly-exploring random tree based memory efficient motion planning117 citations · 2013
- 2A novel RRT*-based algorithm for motion planning in Dynamic environments112 citations · 2017
- 3Compliant actuation for energy efficient impedance modulation29 citations · 2016
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- 7Sparse tree heuristics for RRT* family motion planners4 citations · 2017
- 8Optimal Sensor Placement of Variable Impedance Actuated Robots2 citations · 2019