Yasod Rasanka
Papers
1
Total Citations
3
H-Index
1
About
Yasod Rasanka is a researcher at the intersection of robotics, augmented reality (AR), and deep learning, with a focus on enabling intuitive human-robot collaboration. His most cited work, "Deep Learning of Augmented Reality based Human Interactions for Automating a Robot Team" (2020), proposes a novel system where a team of robots learns complex tasks not through explicit programming, but by observing and learning from human demonstrations mediated through an AR interface. This approach moves beyond simple manual manipulation, allowing robots to generalize behaviors from human interactions. While still early in his career, with this foundational paper garnering 3 citations, Rasanka’s work addresses a critical challenge in robotics: creating systems that are both powerful and accessible. By combining AR’s intuitive visualization with deep learning’s capacity for pattern recognition, he is pioneering a path toward more adaptable and autonomous robot teams that can learn directly from non-expert users, promising to make advanced robotics more practical for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1