Srinivasan Lakshminarayanan
Nanyang Technological University, Technical University of Munich
Papers
7
Total Citations
131
H-Index
3
About
Srinivasan Lakshminarayanan is a robotics researcher whose work centers on human-robot collaboration, force control, and intelligent automation for manufacturing applications. He has made significant contributions to the field of robotic surface finishing, particularly in developing impedance control frameworks that enable robots to perform precise edge chamfering and polishing tasks with adaptive responsiveness to varying contact conditions. His 2021 paper on impedance-controlled human-robot collaborative tooling has garnered 63 citations, while his 2020 work on adaptive impedance-based robotic polishing has earned 54 citations — together establishing him as a leading voice in compliant robotic manipulation for industrial finishing processes. Beyond surface finishing, Lakshminarayanan's research spans toolpath generation for robotic filleting, robot-sensor calibration for vision-assisted systems, and external force estimation for underwater robots — reflecting a broad interest in perception, control, and physical interaction across diverse robotic platforms. His more recent contributions in 2024 address safety standards and current technology trends in manufacturing robotics, demonstrating a growing engagement with the broader ecosystem in which industrial robots operate. His body of work collectively advances the goal of deploying robots that can safely, intelligently, and flexibly interact with their physical environments and human collaborators.
Research Focus
Key Achievements
Top Papers
- 1
- 2An adaptive framework for robotic polishing based on impedance control54 citations · 2020
- 3Robots in manufacturing: Programming, control, and safety standards4 citations · 2024
- 4Estimation of External Force acting on Underwater Robots3 citations · 2024
- 5Toolpath Generation for Robot Filleting3 citations · 2019
- 6Robots in manufacturing: Current technology trends2 citations · 2024
- 7Robot-sensor calibration for a 3D vision assisted drawing robot2 citations · 2019