Ramamoorthy Luxman
Nanyang Technological University, Université de Bourgogne, Warsaw University of Technology
Papers
5
Total Citations
69
H-Index
5
About
Ramamoorthy Luxman is a robotics researcher whose work bridges industrial automation and cultural heritage preservation, with a focus on robust, real-world robotic systems. His key research areas include warehouse automation, robotic grasping, motion planning, and adaptive sensing for cultural heritage. Luxman’s most impactful contribution is his work on the Amazon Robotics Challenge, where he designed a stable, reliable robot for item picking—detailed in his top-cited paper (30 citations). He also developed a mobile robot with suction grippers and a novel visual marker system for automated warehouse picking (11 citations), addressing the e-commerce boom’s demand for speed and efficiency. In an innovative twist, Luxman applied robotics to cultural heritage with LightBot (13 citations), a multi-light acquisition system for adaptive surface capture, overcoming constraints of traditional dome-based setups. His work on gait generation using ground reaction forces (9 citations) and stowing strategies for automated storage systems (6 citations) further showcases his versatility. With over 69 total citations, Luxman’s research demonstrates a rare ability to solve practical challenges in both industrial and cultural domains, making him a notable figure in applied robotics.
Research Focus
Key Achievements
Top Papers
- 1A Robust Robot Design for Item Picking30 citations · 2018
- 2
- 3
- 4Robot motion synthesis using ground reaction forces pattern9 citations · 2017
- 5