8 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.RO2025
STAR: A Foundation Model-driven Framework for Robust Task Planning and Failure Recovery in Robotic Systems
Md Sadman Sakib, Yu Sun
Modern robotic systems, deployed across domains from industrial automation to domestic assistance, face a critical challenge: executing tasks with precision and adaptability in dyn…
cs.RO2024★ 8 cited
Consolidating Trees of Robotic Plans Generated Using Large Language Models to Improve Reliability
Md Sadman Sakib, Yu Sun
The inherent probabilistic nature of Large Language Models (LLMs) introduces an element of unpredictability, raising concerns about potential discrepancies in their output. This pa…
cs.RO2023★ 1 cited
From Cooking Recipes to Robot Task Trees -- Improving Planning Correctness and Task Efficiency by Leveraging LLMs with a Knowledge Network
Md Sadman Sakib, Yu Sun
Task planning for robotic cooking involves generating a sequence of actions for a robot to prepare a meal successfully. This paper introduces a novel task tree generation pipeline…