Shrutheesh Raman Iyer
PhD Student, Computer Science, Purdue University
Robotics PhD student working on planning, perception, and getting robots to act sensibly in the real world.
🤖 Building something like robots I guess
I’m a robotics PhD student at the CS Department at Purdue, working at the CoMMA lab with Prof. Zak Kingston. I’m an aspiring roboticist interested in building intelligent systems capable of reasoning and action — I currently focus on long-horizon manipulation tasks, that need satisfying real-world constraints
Before Purdue, I spent two years (2023–2025) as a perception software engineer at Aurora Innovation, building perception systems for self-driving trucks, and I graduated from UC San Diego with a master’s in Computer Science, specializing in robotics.
When I’m not doing robotics, you’ll typically find me watching cricket or football (soccer), or passionately defending why the Eagles could not have carried the ring to Mordor.
Read more on the bio page, browse my publications, or take a look at past projects.
Publications
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Vectorizing Projection in Manifold-Constrained Motion Planning for Real-Time Whole-Body Control
IROS IEEE/RSJ International Conference on Intelligent Robots and Systems, 2026 · To Appear
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Differentiable Particle Optimization for Fast Sequential Manipulation
ICRA IEEE International Conference on Robotics and Automation, 2026 · To Appear
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Motion Planning in Foliated Manifolds using Repetition Roadmap
RSS Robotics: Science and Systems, 2024
News
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Jun 2026
McVAMP accepted at IROS 2026
Our work on Constrained Motion Planning has been accepted at IROS 2026. See you in Pittsburgh!
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Apr 2026
McVAMP preprint
Our work on Constrained Motion Planning is publicly available and under review.
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Feb 2026
SPaSM accepted at ICRA 2026
Our paper SPaSM has been accepted at ICRA 2026. See you in Vienna!
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Jul 2025
Started PhD
Started my PhD in CS at Purdue, at the CoMMA lab with Prof. Zachary Kingston, to work on planning for robotics.
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May 2024
Paper accepted at RSS 2024
Our most recent work, “Motion Planning in Foliated Manifolds using Repetition Roadmap,” has been accepted at Robotics: Science and Systems (RSS) 2024, held in Delft, Netherlands. It was presented on July 16, 2024. The conference paper can be found here.
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