Olimpiya Saha
Papers
9
Total Citations
207
H-Index
7
About
Olimpiya Saha is a leading researcher in cloud robotics and autonomous navigation, whose work bridges the gap between cloud computing and intelligent robot systems. Her highly cited 2018 survey on cloud robotics architectures (140 citations) established foundational frameworks for integrating wireless networking, large-scale storage, and Internet resources into service robotics. Saha’s core contributions focus on real-time path planning and area coverage, where she pioneered transfer learning techniques that enable robots to apply prior navigation experiences to new, complex obstacle patterns—dramatically reducing planning times. Her deep reinforcement learning approaches for online area covering robots in unknown dynamic environments have advanced autonomous systems for residential and commercial applications. Notably, her work on implicit cellular decomposition and inverse reinforcement learning for reward estimation has improved robot efficiency in challenging settings, including extraterrestrial environments. With publications spanning from 2016 to 2021, Saha’s research has accumulated over 200 citations, demonstrating significant impact in making robots more adaptive, efficient, and capable of learning from experience. Her innovative combination of cloud computing, transfer learning, and reinforcement learning continues to shape the future of autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Deep Reinforcement Learning Based Online Area Covering Autonomous Robot9 citations · 2021
- 4
- 5
- 6Online Area Covering Robot in Unknown Dynamic Environments7 citations · 2021
- 7
- 8
- 9