Selamawit Asfaw
Papers
1
Total Citations
3
H-Index
1
About
Selamawit Asfaw is a robotics researcher whose work centers on the intersection of vision-language models and bimanual manipulation, with a focus on enabling complex, real-world robotic tasks. Her major contribution, the Shake-VLA system, introduces a Vision-Language-Action (VLA) model that integrates visual perception, speech interpretation, and dual-arm coordination to automate cocktail preparation—a task requiring precise liquid mixing and bottle handling. This work, published in 2025 and already garnering 3 citations, demonstrates her ability to bridge high-level AI reasoning with low-level motor control, advancing the field of human-robot interaction. By combining a vision module for label reading with a speech-to-text interface, Asfaw’s research paves the way for more intuitive and versatile robotic assistants in dynamic environments. Her achievements highlight a promising trajectory in embodied AI, where robots can understand and execute complex, multi-step instructions in real time.
Research Focus
Key Achievements
Top Papers
- 1