Shivansh Sharma
Papers
1
Total Citations
2
H-Index
1
About
Shivansh Sharma is a rising researcher at the intersection of robotics, human-robot collaboration, and intelligent manufacturing. His work focuses on developing safe, real-time algorithms that enable humans and AI-driven robots to work together seamlessly, particularly in constrained environments like gloveboxes. His most-cited paper, “The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environments” (2024, 2 citations), addresses a critical gap in Industry 5.0 research by providing a benchmark dataset for cooperative assembly tasks. This contribution supports the transition from Industry 4.0’s AI automation to a human-centric model where workers act as expert collaborators. Sharma’s research is foundational for advancing collaborative robotics in hazardous or sterile settings, with potential applications in nuclear, pharmaceutical, and semiconductor manufacturing. Though early in his career, his work has already drawn attention for its practical relevance and methodological rigor. By bridging the gap between theoretical AI frameworks and real-world industrial constraints, Sharma is helping shape the future of human-robot teamwork.
Research Focus
Key Achievements
Top Papers
- 1