Mohammad Salman Khan
Skolkovo Institute of Science and Technology, UCSI University
Papers
2
Total Citations
5
H-Index
2
About
Mohammad Salman Khan is a robotics researcher whose work sits at the intersection of computer vision, natural language processing, and autonomous manipulation. His primary research areas include vision-language-action (VLA) models, bimanual robotic control, and human-robot interaction for service applications. Khan’s most notable contribution is the development of **Shake-VLA**, a groundbreaking Vision-Language-Action model-based system that enables bimanual robotic manipulation for automated cocktail preparation. This system integrates vision modules for ingredient detection, speech-to-text for interpreting user commands, and coordinated dual-arm control to execute complex mixing tasks—demonstrating a practical step toward general-purpose service robots. He has also contributed to sports robotics with the **Autonomous Table Tennis Ball Retrieving Robot**, which addresses the real-world challenge of collecting scattered balls during training sessions. While his citation counts are still growing (3 and 2 citations respectively for his top papers), the novelty of his VLA approach and its potential for commercial applications in hospitality and domestic settings marks him as an emerging innovator in embodied AI and robotic service systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of Autonomous Table Tennis Ball Retrieving Robot2 citations · 2023