Shashank Rao Marpally

Doctoral Student, School of Computing, National University of Singapore

prof_pic.jpg

Hi! I am a final year Ph.D. candidate (expected October 2026) at the National University of Singapore, working with Dr. Harold Soh at the CLeAR Lab.

I’m looking for full-time opportunities for Robotics Research and Engineering roles from October 2026. Please feel free to reach out!

Research: I’m generally interested in Human-Robot Interaction, Explainable AI, and Robot Foundation Models. Currently, I work at the intersection of these fields, specifically, the Synthesis and Evaluation of Social Navigation Algorithms that would aid robots to behave in a context-appropriate and socially-compliant manner around humans. My recent work spans LLM-powered scenario generation for scenario-based testing (SocRATES), curating one of the largest expert-demonstration social navigation datasets, and learning residual imitation-learning navigation policies.

Previously: In my Masters Thesis at Arizona State University, I worked on Action Model Learning of black-box agents through agent interrogation with Dr. Siddharth Srivastava and before that, I worked on AI agents that learn to generate explanations progressively for planning tasks through inverse reinforcement learning with Dr. Yu (Tony) Zhang.

When I’m not working on research, you can generally find me either playing some guitar, cooking, sketching, or watching British panel/comedy shows.

Contact: smarpall[at]comp[dot]nus[dot]edu[dot]sg

news

Jul 09, 2026 I presented my thesis proposal, A framework for learning and evaluating Social Robot Navigation! [Slides]
Jun 28, 2026 Submitted ACME: A Multi-Cultural Multi-Embodiment Social Navigation Dataset to IJRR! Check out the project website.
Jan 28, 2026 I gave a talk on “Datasets for Social Navigation” at the Embodied AI Workshop, National Robotics Programme.
Jul 09, 2025 I gave a talk on “Curating Social Navigation Datasets for Training Navigation Models” at the NSCC-NRP Workshop on Advancing Embodied AI Research through Data.
Dec 31, 2024 SocRATES: Our novel LLM-powered social-scenario generation tool is released on arxiv with accompanying code!

selected publications