Gabriele Nava
Papers
20
Total Citations
215
H-Index
9
About
Gabriele Nava is a robotics researcher whose work spans humanoid robot control, whole-body motion planning, and human-robot interaction — fields at the cutting edge of modern robotics. His research has made significant contributions to the development of controllers for complex robotic systems, particularly in balancing, walking, and the ambitious domain of jet-powered flying humanoid robots. His 2018 work on stabilizing an underactuated flying humanoid robot (26 citations) stands out as a remarkable achievement, addressing one of robotics' most challenging frontiers. Nava has also advanced momentum-based control strategies for humanoid locomotion, with his stability analysis work providing rigorous theoretical foundations for the field. His 2020 paper on real-time motion tracking using dynamical inverse kinematics (31 citations) demonstrates his commitment to practical, time-critical applications bridging human movement and robotic systems. Contributing to the FP7 EU CoDyCo project (30 citations), he helped push forward whole-body controllers for physical human-robot interaction. More recently, his research into thrust estimation for flying multibody robots and multimodal locomotion trajectory optimization reflects a broadening vision of robots that move fluidly across multiple environments — walking, flying, and interacting safely alongside humans.
Research Focus
Key Achievements
Top Papers
- 1Model-Based Real-Time Motion Tracking Using Dynamical Inverse Kinematics31 citations · 2020
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- 3Position and Attitude Control of an Underactuated Flying Humanoid Robot26 citations · 2018
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- 9Whole-Body Trajectory Optimization for Robot Multimodal Locomotion9 citations · 2022
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