Georgios Pavlakos
Papers
3
Total Citations
26
H-Index
2
About
Georgios Pavlakos is a leading researcher in computer vision and robotics, with a focus on enabling machines to perceive, interact with, and assist humans in complex environments. His work bridges the gap between high-level scene understanding and low-level motor control, particularly for humanoid robots and assistive technologies. Pavlakos is best known for pioneering methods that allow robots to learn manipulation skills from single video demonstrations, as exemplified by his work on OKAMI (2024), which uses object-aware retargeting to transfer human actions to humanoid platforms. Earlier in his career, he contributed to the development of intelligent mobility assistance robots, such as the robotic walker described in his 2014 paper, which integrates multimodal sensory data (audio, visual, and laser) to provide cognitive and physical support for elderly individuals with walking impairments. His research has garnered over 26 citations, with his most cited work laying the groundwork for socially assistive robotics. Pavlakos’s contributions are notable for their practical impact on assisted living and human-robot interaction, making him a key figure in the advancement of embodied AI.
Research Focus
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Top Papers
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