Almas Shintemirov
Papers
28
Total Citations
559
H-Index
14
About
Almas Shintemirov is a robotics researcher whose work spans human-robot interaction, robotic manipulation, rehabilitation engineering, and intelligent control systems. He is perhaps best known for his contributions to accessible robotics hardware, having developed a series of open-source, 3D-printed robotic grippers and hands — including the NU Hand and multiple underactuated gripper platforms — that have collectively garnered over 175 citations, democratizing robot grasping research for laboratories with limited budgets. His work on semi-autonomous teleoperation using model predictive control (MPC), his most-cited contribution with 73 citations, introduced elegant solutions for whole-body obstacle avoidance guided by human hand pose, advancing safe collaborative robotics. Shintemirov has also made meaningful inroads into rehabilitation robotics through the NU-Wrist exoskeleton, brain-computer interface-driven robot control, and safety-aware nonlinear MPC for physical human-robot interaction. His open-source arm motion-tracking system further reflects a consistent commitment to reproducible, community-driven research. Spanning hardware design, control theory, deep learning, and human-centered systems, Shintemirov's portfolio demonstrates a rare breadth that bridges foundational engineering with real-world assistive and industrial applications, making his work particularly valuable reading for students entering robotics or human-robot interaction research.
Research Focus
Key Achievements
Top Papers
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- 5An open-source 3D printed underactuated robotic gripper41 citations · 2014
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- 9An underactuated adaptive 3D printed robotic gripper24 citations · 2014
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