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Aleksandr I. Panov

2 accepted papers

2025

LERa: Replanning with Visual Feedback in Instruction Following

IROS 2025

Large Language Models are increasingly used in robotics for task planning, but their reliance on textual inputs limits their adaptability to real-world changes and failures. To address these challenges, we propose LERa — Look, Explain, Replan — a Visual Language Model-based replanning approach that

Cited by 7SourcecodeScholar
2025

VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots

IROS 2025

In the field of robotics, researchers face a critical challenge in ensuring reliable and efficient task planning. Verifying high-level task plans before execution significantly reduces errors and enhance the overall performance of these systems. In this paper, we propose an architecture for automati

Cited by 9SourcecodeScholar