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cs.RO2024
Embodied Red Teaming for Auditing Robotic Foundation Models
Sathwik Karnik, Zhang-Wei Hong, Nishant Abhangi +5
Language-conditioned robot models have the potential to enable robots to perform a wide range of tasks based on natural language instructions. However, assessing their safety and e…
cs.RO2024
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao +2
Grounding the common-sense reasoning of Large Language Models (LLMs) in physical domains remains a pivotal yet unsolved problem for embodied AI. Whereas prior works have focused on…