Papers
11
Total Citations
165
H-Index
6
About
Nikos Mavrakis is a robotics researcher specializing in robotic grasping, manipulation planning, and autonomous systems, with particular expertise in the estimation and exploitation of objects' inertial parameters. His most influential contribution — a comprehensive 2019 survey on inertial parameter estimation in robotic grasping and manipulation (54 citations) — established a foundational reference for the field, systematically examining how robots can better understand and interact with previously unseen objects. His earlier work on jointly planning grasps and manipulative motion trajectories (2016, 26 citations) challenged the prevailing practice of treating these problems in isolation, demonstrating that integrated reasoning leads to more effective real-world manipulation. Mavrakis has consistently bridged theoretical rigor with practical application, extending his research into space robotics — notably investigating on-orbit grasping of spent rocket stages and applying formal verification methods to autonomous grasping software for active debris removal. His data-driven approach to estimating inertial parameters through robotic pushing further illustrates his range. With over 160 cumulative citations, Mavrakis has made meaningful contributions to both terrestrial and space robotics, helping lay the groundwork for safer, more capable autonomous manipulation systems in complex and extreme environments.
Research Focus
Key Achievements
Top Papers
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- 7Grasp that optimises objectives along post-grasp trajectories6 citations · 2017
- 8Formal Verification of an Autonomous Grasping Algorithm6 citations · 2020
- 9Safe robotic grasping: Minimum impact-force grasp selection3 citations · 2017
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