Bukeikhan Omarali
Queen Mary University of London, Nazarbayev University, University of Genoa
Papers
12
Total Citations
229
H-Index
8
About
Bukeikhan Omarali is a robotics researcher whose work centers on advancing human-robot interaction, teleoperation, and autonomous control for complex, hazardous environments. His major contributions lie in developing semi-autonomous systems that blend human intuition with machine precision, particularly for nuclear waste decommissioning. His most-cited paper (73 citations) introduces a model predictive control approach for obstacle avoidance during robot teleoperation, while another highly influential work (53 citations) presents a comprehensive suite of robotic solutions for safely handling radioactive materials. Omarali has also pioneered virtual reality-based telerobotics frameworks (28 citations) that use depth cameras and in-hand sensors to enhance operator immersion and control. He developed an open-source 7-DOF wireless arm motion-tracking system (27 citations) to democratize access to motion-capture technology for research and education. His work extends to tactile classification of materials (8 citations) and bilateral telemanipulation for dexterous robots, demonstrating a commitment to making remote manipulation more intuitive and effective. With over 220 total citations, Omarali’s research is shaping the future of teleoperation in dangerous settings, bridging the gap between human capability and robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Suite of Robotic Solutions for Nuclear Waste Decommissioning53 citations · 2021
- 3Virtual Reality based Telerobotics Framework with Depth Cameras28 citations · 2020
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