Papers
23
Total Citations
1,244
H-Index
15
About
Dimitar Dimitrov is a leading researcher in robotics and control systems, with key contributions spanning humanoid locomotion, space robotics, and task-and-motion planning. His most influential work centers on model predictive control (MPC) for online walking gait generation, where he pioneered methods that allow humanoid robots to dynamically adjust footstep placement in real time—a breakthrough that enables stable, adaptive locomotion without predefined steps. This line of research, including his 2010 paper with 330 citations and the 2008 work with 179 citations, has become foundational in bipedal robotics. In space robotics, Dimitrov advanced techniques for capturing tumbling satellites, using bias momentum and reaction null space to minimize base attitude disturbances during contact—critical for autonomous orbital servicing. He also made significant strides in combining task and motion planning, introducing constraint propagation and geometric backtracking methods that efficiently handle kinematically constrained problems. With over 1,000 total citations across his top papers, Dimitrov’s work has shaped both terrestrial and extraterrestrial robotic autonomy, earning him recognition as a key innovator in real-time motion generation and hybrid planning.
Research Focus
Key Achievements
Top Papers
- 1Online Walking Motion Generation with Automatic Footstep Placement330 citations · 2010
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- 3Efficiently combining task and motion planning using geometric constraints110 citations · 2014
- 4On the Capture of Tumbling Satellite by a Space Robot105 citations · 2006
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- 10Utilization of the bias momentum approach for capturing a tumbling satellite34 citations · 2005