← Search

Snehasis Banerjee

3 accepted papers

2025

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement

ICRA 2025

An embodied agent assisting humans is often asked to complete new tasks, and there may not be sufficient time or labeled examples to train the agent to perform these new tasks. Large Language Models (LLMs) trained on considerable knowledge across many domains can be used to predict a sequence of abs

Cited by 7SourcecodeScholar
2024

Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments†

ICRA 2024poster

Assistive agents performing household tasks such as making the bed or cooking breakfast often compute and execute actions that accomplish one task at a time. However, efficiency can be improved by anticipating upcoming tasks and computing an action sequence that jointly achieves these tasks. State-o…

Cited by 10SourceScholar
2023

Sequence-Agnostic Multi-Object Navigation

ICRA 2023poster

The Multi-Object Navigation (MultiON) task requires a robot to localize an instance (each) of multiple object classes. It is a fundamental task for an assistive robot in a home or a factory. Existing methods for MultiON have viewed this as a direct extension of Object Navigation (ON), the task of lo…

Cited by 10SourceScholar