Sevag Tafnakaji

Papers

Total Citations

H-Index

About

Sevag Tafnakaji is a robotics researcher whose work centers on advancing the autonomy and reliability of mobile manipulators—robotic systems that combine mobility with dexterous manipulation. His primary research areas include motion planning, benchmarking, and the integration of perception and control for complex robotic tasks. Tafnakaji’s major contribution is the development of rigorous evaluation frameworks for local motion planners, addressing a critical gap in the field: the difficulty of comparing planner performance across diverse hardware, tasks, and uncertain environments. His most-cited work, “Benchmarking local motion planners for navigation of mobile manipulators” (2023), has already garnered 7 citations, reflecting its timely relevance. By establishing standardized metrics and testing protocols, Tafnakaji enables researchers and engineers to make informed decisions about planner selection, ultimately improving the safety and efficiency of robots in real-world settings. His research is particularly impactful for applications in logistics, healthcare, and manufacturing, where mobile manipulators must navigate dynamic spaces while handling objects. Tafnakaji’s commitment to reproducible science and practical benchmarking positions him as a rising voice in robotics, helping to bridge the gap between theoretical algorithms and deployable systems.