Abhishek Paudel

CS PhD Student, George Mason University

I am a PhD student in the Department of Computer Science at George Mason University, where I’m advised by Prof. Greg Stein in the Robotic Anticipatory Intelligence & Learning (RAIL) Group.

My research interests are in the areas of robotics, machine learning, and planning under uncertainty. My research focuses on improving the robot’s abilities to adapt to multiple environments that the robot may or may not have seen before. I work towards developing techniques with sound theoretical foundations that enable a robot to introspect its behavior during deployment and, if necessary, switch to better behaviors that are learned beforehand or during deployment so as to improve the overall performance.

I graduated with a degree in computer engineering from Tribhuvan University, IOE, Pulchowk Campus in Nepal. In the past, I have also worked with UNICEF Nepal and local partners on projects that include efficient information dissemination and data collection based on mobile technologies, automated interactive surveys and data analytics. I was also an AI Fellow at Fusemachines.

news

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.
Jun 21, 2023 Our paper Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction was accepted at IROS 2023. [Paper] [Blog]
May 19, 2023 Earned MS in Computer Science (ML Concentration) degree from George Mason University
Dec 2, 2021 Successfully completed PhD Comprehensive Exam
May 12, 2021 Received Outstanding Graduate Teaching Assistant Award
Aug 26, 2019 Joined George Mason University in Fall 2019 for PhD in Computer Science