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cs.RO2026
Top-down Traffic Scenario Generation via Joint Initial-Goal Diffusion and Trajectory Infilling
Da Saem Lee, Yash Vardhan Pant, Sebastian Fischmeister
Robust traffic simulators are crucial for developing and testing autonomous vehicles to reduce the costly, labor-intensive real-world data collection process and the need for physi…
cs.RO2026
IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation
Yifan Li, Lichi Li, Anh Dao +15
While Visual Large Language Models (VLLMs) show great promise as embodied agents, they continue to face substantial challenges in spatial reasoning. Existing embodied benchmarks la…
cs.RO2025
Path Diffuser: Diffusion Model for Data-Driven Traffic Simulator
Da Saem Lee, Akash Karthikeyan, Yash Vardhan Pant +1
Simulating diverse and realistic traffic scenarios is critical for developing and testing autonomous planning. Traditional rule-based planners lack diversity and realism, while lea…