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.
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]