Andromachi Maria Delfaki
Papers
5
Total Citations
21
H-Index
3
About
Andromachi Maria Delfaki is a rising roboticist whose research focuses on the intersection of legged locomotion, manipulation, and social navigation, with a strong emphasis on deploying robots in hazardous environments. Her work is driven by a core principle: the sanctity of human life mandates replacing individuals with robotic systems in dangerous tasks like Explosive Ordnance Disposal (EOD). Delfaki’s most cited paper, "Learning Bipedal Walking on a Quadruped Robot via Adversarial Motion Priors" (2024, 8 citations), demonstrates her ability to repurpose existing hardware for novel gaits. She further advances telepresence in "Advancing teleoperation for legged manipulation with wearable motion capture" (2024, 6 citations), enabling intuitive remote control for high-risk operations. Her contributions also include a novel reinforcement learning-based grasping system that combines one-shot affordance localization with zero-shot object identification (3 citations), and the Augmented Social Force Model (ASFM) for seamless legged robot social navigation (2 citations). By tackling local path planning among pushable objects using multi-agent reinforcement learning, Delfaki is systematically building the foundational capabilities for robots to operate safely and effectively alongside humans in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
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- 4ASFM: Augmented Social Force Model for Legged Robot Social Navigation2 citations · 2024
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