Abhijith R. Puthussery
Papers
2
Total Citations
54
H-Index
2
About
Abhijith R. Puthussery is a robotics researcher whose work sits at the intersection of cloud computing, autonomous navigation, and artificial intelligence. His most influential contribution, "Cloud robotics: A software architecture for heterogeneous large-scale autonomous robots" (2016, 36 citations), introduced a novel three-subsystem framework—Middleware, Background Tasks, and Control—that leverages cloud technologies to enable scalable coordination among diverse robotic platforms. This architecture has been foundational for researchers exploring distributed robot intelligence. In his equally significant work, "A deep vision landmark framework for robot navigation" (2017, 18 citations), Puthussery pioneered a deep learning-based approach that allows robots to autonomously identify and navigate using environmental landmarks, moving beyond traditional path-planning constraints. Together, these contributions demonstrate his ability to bridge software architecture with practical perception systems, addressing key challenges in making robots both smarter and more collaborative. His research has been cited in studies on cloud-enabled robotics and vision-based autonomy, marking him as a thoughtful contributor to the next generation of intelligent, networked robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A deep vision landmark framework for robot navigation18 citations · 2017