9 citations · 10 across the 9 of their papers we have counts for
9 papers
Multi-Robot Learning-Informed Task Planning Under Uncertainty
Abhish Khanal, Abhishek Paudel, Hung Pham +1
We want a multi-robot team to complete complex tasks in minimum time where the locations of task-relevant objects are not known. Effective task completion requires reasoning over l…
Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
Abhishek Paudel, Abhish Khanal, Raihan I. Arnob +2
We present a novel LLM-informed model-based planning framework, and a novel prompt selection method, for object search in partially-known environments. Our approach uses an LLM to…
Effective Task Planning with Missing Objects using Learning-Informed Object Search
Raihan Islam Arnob, Max Merlin, Abhishek Paudel +3
Task planning for mobile robots often assumes full environment knowledge and so popular approaches, like planning via the PDDL, cannot plan when the locations of task-critical obje…
Using Contextual Information for Sentence-level Morpheme Segmentation
Prabin Bhandari, Abhishek Paudel
Recent advancements in morpheme segmentation primarily emphasize word-level segmentation, often neglecting the contextual relevance within the sentence. In this study, we redefine…
Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction
Abhishek Paudel, Gregory J. Stein
We present a novel approach for fast and reliable policy selection for navigation in partial maps. Leveraging the recent learning-augmented model-based Learning over Subgoals Plann…
Motion Primitives based Path Planning with Rapidly-exploring Random Tree
Abhishek Paudel
We present an approach that generates kinodynamically feasible paths for robots using Rapidly-exploring Random Tree (RRT). We leverage motion primitives as a way to capture the dyn…
Learning for Robot Decision Making under Distribution Shift: A Survey
Abhishek Paudel
With the recent advances in the field of deep learning, learning-based methods are widely being implemented in various robotic systems that help robots understand their environment…
Sophisticated Students in Boston Mechanism and Gale-Shapley Algorithm for School Choice Problem
Abhishek Paudel
We present our experimental results of simulating the school choice problem which deals with the assignment of students to schools based on each group's complete preference list fo…
Room Classification on Floor Plan Graphs using Graph Neural Networks
Abhishek Paudel, Roshan Dhakal, Sakshat Bhattarai
We present our approach to improve room classification task on floor plan maps of buildings by representing floor plans as undirected graphs and leveraging graph neural networks to…