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Raghav Arora

2 accepted papers

2026

Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning

ICRA 2026poster

Robot planning in partially observable environments, where not all objects are known or visible, is a challenging problem, as it requires reasoning under uncertainty through partially observable Markov decision processes. During the execution of a computed plan, a robot may unexpectedly observe task…

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