Antoine Petraki
Papers
1
Total Citations
6
H-Index
1
About
Antoine Petraki is a robotics researcher whose work focuses on safe and robust manipulation planning under uncertainty. His key research areas include motion planning, optimal control, and stability analysis for robotic systems, particularly addressing the challenges posed by unknown or variable payloads. In his most notable contribution, "Chance-Constrained Rollover-Free Manipulation Planning With Uncertain Payload Mass" (2023), Petraki introduces a novel framework that formulates the manipulation planning problem as a chance-constrained nonlinear optimal control problem (NOCP). This approach ensures rollover stability even when the payload mass is uncertain, a critical advancement for applications in manufacturing, logistics, and field robotics where load conditions are unpredictable. By integrating probabilistic constraints with kinematic and stability requirements, his work bridges the gap between theoretical optimal control and practical robotic safety. With 6 citations to date, this paper has already garnered attention for its rigorous yet applicable methodology. Petraki’s research is particularly valuable for students and engineers seeking to develop robots that can operate reliably in real-world, uncertain environments, making him a promising voice in the field of autonomous manipulation.
Research Focus
Key Achievements
Top Papers
- 1