Papers
3
Total Citations
28
H-Index
2
About
Samson Yu is a robotics researcher whose work bridges the gap between physical reasoning and artificial intelligence, with a particular focus on enabling robots to understand and interact with the world through tactile and language-based models. His key research areas include robot manipulation, physical reasoning, and the integration of tactile sensing with large language models. Yu’s major contribution is the development of Octopi, a groundbreaking system that combines tactile feedback with language models to reason about object properties, such as weight, texture, and compliance, without relying solely on vision. This work, which has garnered 21 citations since its 2024 publication, represents a significant step toward more robust and context-aware robotic manipulation. Additionally, his earlier work on Physical Interaction Prediction (PIP) explores how robots can simulate physical interactions to predict outcomes, further advancing the field of embodied AI. Yu’s research is notable for its innovative fusion of tactile data and language, offering a new paradigm for robots to reason about and manipulate objects in unstructured environments. His contributions are shaping the future of intelligent robotics, making him a rising figure in the field.
Research Focus
Key Achievements
Top Papers
- 1Octopi: Object Property Reasoning with Large Tactile-Language Models21 citations · 2024
- 2
- 3Octopi: Object Property Reasoning with Large Tactile-Language Models2 citations · 2024