Papers
7
Total Citations
83
H-Index
4
About
Daniel Mitroi is a robotics researcher whose work focuses on advanced control systems for walking and mobile robots, with particular expertise in hybrid position-force control, dynamic systems modeling, and intelligent autonomous navigation. His most influential contribution, "Walking Robots Dynamic Control Systems on an Uneven Terrain" (2010, 43 citations), introduced Zero Point Moment dynamic control within an open-architecture real-time multiprocessor framework, significantly advancing the capability of walking robots to navigate complex terrain. Building on this, his work on modular walking robots applied innovative mathematical modeling to hybrid position-force control strategies, earning 21 citations and establishing him as a key voice in multi-microprocessor robotic architectures. Mitroi's earlier research laid important groundwork in kinematics, kinetostatics, and inverted kinematics modeling for robot compliance across six degrees of freedom. More recently, his 2019 work on Intelligent Control Interfaces for terrestrial and aerial robots reflects a forward-looking pivot toward autonomous navigation and AI-driven control strategies using the versatile VIPRO platform. With a cumulative body of work spanning over a decade, Mitroi has consistently pushed the boundaries of real-time robotic control, making his research particularly valuable for engineers and students working at the intersection of robotics, applied mathematics, and intelligent systems design.
Research Focus
Key Achievements
Top Papers
- 1Walking Robots Dynamic Control Systems on an Uneven Terrain43 citations · 2010
- 2Modeling and hybrid position-force control of walking modular robots21 citations · 2010
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- 5The hybrid position and force control of robots with compliance function4 citations · 2008
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- 7The multi-tasking robot control through open architecture systems2 citations · 2008