Sajib Sarkar
Papers
1
Total Citations
42
H-Index
1
About
Sajib Sarkar is reshaping the future of human-robot collaboration in construction, with a sharp focus on computer vision and worker safety. His most-cited work, "Multi-Camera-Based Human Activity Recognition for Human–Robot Collaboration in Construction" (2023, 42 citations), tackles a critical bottleneck in the industry: enabling robots to reliably interpret human behavior in dynamic, cluttered job sites. Sarkar identified that single or RGB-depth cameras fail in real-world conditions, so his research pioneers multi-camera systems that fuse spatial data to overcome occlusion and lighting challenges. This breakthrough allows robots to anticipate worker movements and avoid collisions, directly advancing both productivity and life-saving safety protocols. By addressing the gap between controlled lab settings and chaotic construction environments, Sarkar’s contributions provide a scalable framework for intelligent, responsive robotics. His work is already influencing the design of safer, more autonomous construction sites, positioning him as a key voice in the intersection of sensing, activity recognition, and collaborative robotics. For students and researchers, Sarkar’s research offers a compelling blueprint for making machines truly aware of their human partners.
Research Focus
Key Achievements
Top Papers
- 1