Siddarth Narasimhan

University of Toronto, SASTRA University

Papers

Total Citations

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About

Siddarth Narasimhan is a robotics researcher whose work bridges social navigation, lifelong learning, and human-robot interaction. His key research areas include mobile robot social navigation, vision-language models, and parallel manipulator workspace analysis. Narasimhan’s major contribution is the development of OLiVia-Nav, an online lifelong vision-language approach that enables service robots to navigate human-centered environments—such as hospitals and long-term care homes—while adapting to new social norms and ensuring human comfort and safety. This work, published in 2025, has already garnered 8 citations, reflecting its timely impact on socially-aware robotics. Earlier in his career, Narasimhan contributed to the geometric determination of constant orientation workspaces for Stewart platforms, a foundational study for parallel manipulator design and trajectory planning, with 5 citations. His research demonstrates a unique ability to tackle both high-level social reasoning and low-level mechanical design, making him a versatile figure in robotics. Notably, his work on lifelong adaptation addresses a critical gap in deploying robots in dynamic, human-shared spaces, positioning him as a rising voice in the field of socially intelligent autonomous systems.