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Shreyas Sundara Raman

2 accepted papers

2025

λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics

IROS 2025

Learning to execute long-horizon mobile manipulation tasks is crucial for advancing robotics in household and workplace settings. However, current approaches are typically data-inefficient, underscoring the need for improved models that require realistically sized benchmarks to evaluate their effici

Cited by 4SourceScholar
2024

CAPE: Corrective Actions from Precondition Errors using Large Language Models

ICRA 2024poster

Extracting knowledge and reasoning from large language models (LLMs) offers a path to designing intelligent robots. Common approaches that leverage LLMs for planning are unable to recover when actions fail and resort to retrying failed actions without resolving the underlying cause. We propose a nov…

Cited by 34SourceScholar