Gaurang Gupta
Papers
1
Total Citations
27
H-Index
1
About
Gaurang Gupta is a leading researcher at the intersection of ambient intelligence, multimodal sensing, and autonomous systems. His work focuses on enabling machines to perceive and interpret complex human actions in real-world environments, a critical capability for next-generation robotics and smart infrastructure. In his highly cited 2022 paper, "Ambient intelligence-based multimodal human action recognition for autonomous systems," Gupta introduced a novel framework that fuses data from vision, audio, and inertial sensors to achieve robust action recognition under challenging conditions like occlusions and varying lighting. This contribution has garnered 27 citations and is widely recognized for bridging the gap between theoretical AI and practical deployment in autonomous vehicles and assistive robots. Gupta’s research not only advances the technical frontiers of human-robot interaction but also addresses key challenges in safety and adaptability for autonomous systems. His work is a cornerstone for students and engineers seeking to build more intuitive, context-aware machines that can seamlessly collaborate with humans in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1