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cs.RO2025
ReGen: Generative Robot Simulation via Inverse Design
Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong +5
Simulation plays a key role in scaling robot learning and validating policies, but constructing simulations remains a labor-intensive process. This paper introduces ReGen, a genera…
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
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models
Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong +2
Generating varied scenarios through simulation is crucial for training and evaluating safety-critical systems, such as autonomous vehicles. Yet, the task of modeling the trajectori…