Shreya Saxena
Papers
1
Total Citations
36
H-Index
1
About
Shreya Saxena is a leading researcher at the intersection of robotics, human-robot collaboration, and sustainable manufacturing. Her work focuses on enabling intelligent robotic systems to understand and assist with complex manual tasks, particularly in the critical domain of electronic waste recycling and remanufacturing. Her most cited paper, "Unsupervised Human Activity Recognition Learning for Disassembly Tasks" (2023, 36 citations), introduces a novel approach to automatically recognize human actions during disassembly without requiring labeled training data. This contribution is pivotal for developing collaborative robots that can seamlessly adapt to human workflows, addressing the low productivity and high manual labor demands of remanufacturing plants. By tackling the challenge of teaching robots to understand unstructured, real-world human activities, Saxena’s research directly supports the transition toward more efficient, human-centered automation in sustainable industries. Her work has significant implications for reducing electronic waste and improving resource recovery, marking her as a key innovator in the push for greener, smarter manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Unsupervised Human Activity Recognition Learning for Disassembly Tasks36 citations · 2023