Abhishek Paudel
CS PhD Candidate, George Mason University
I am a PhD candidate in Computer Science at George Mason University, advised by Dr. Gregory J. Stein in the Robotic Anticipatory Intelligence & Learning (RAIL) Group.
My research is at the intersection of robotics and machine learning, with a focus on long-horizon planning under uncertainty. My work focuses on integrating planning and learning via model-based approaches to enable effective and reliable long-horizon decision-making under uncertainty for problems such as navigation, multi-robot coordination, task planning with missing objects, deployment-time introspection and adaptation, and LLM-informed robot planning.
I graduated with a degree in computer engineering from Tribhuvan University, IOE, Pulchowk Campus in Nepal. Before enrolling at GMU, I worked with UNICEF Nepal on several SMS-based platforms including U-Report Nepal. I was also a Microsoft Student Partner and a Fusemachines AI Fellow.
news
Oct 7, 2025 | I gave an invited talk in the Computing@PNNL Seminar at Pacific Northwest National Laboratory. |
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Apr 18, 2025 | Our paper Deployment-time Selection of Prompts for LLM-informed Object Search in Partially-Known Environments was accepted at ICRA FMNS Workshop 2025. [Paper] |
Apr 17, 2025 | I was selected to ICRA 2025 Doctoral Consortium. I will present my work on Introspection for Long-Horizon Robot Planning under Uncertainty. [Abstract] |
Mar 21, 2025 | Received Provost’s Summer Research Fellowship |
Dec 5, 2024 | Successfully advanced to candidacy having defended my dissertation proposal |
Nov 9, 2024 | Presented two papers (conference + workshop) at CoRL 2024 in Munich, Germany. [CoRL Conference Paper] [CoRL LEAP Workshop Paper] |
Nov 4, 2024 | I was invited to the Data Skeptic Podcast as a guest to talk about Graphs and ML for Robotics. [Episode Link] |
Oct 24, 2024 | Our paper Enhancing Object Search by Augmenting Planning with Predictions from Large Language Models was accepted at CoRL LEAP Workshop 2024. [Paper] |
Sep 4, 2024 | Our paper Multi-Strategy Deployment-Time Learning and Adaptation for Navigation under Uncertainty was accepted at CoRL 2024. [Paper] |
Oct 1, 2023 | Presented the paper Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction at IROS 2023, Detroit, Michigan, USA. [Paper] |