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cs.RO2026
Embodied AI in Action: Insights from SAE World Congress 2026 on Safety, Trust, Robotics, and Real-World Deployment
Jan-Mou Li, Paul Schmitt, Wei Tong +4
Embodied artificial intelligence is rapidly moving from research into real-world systems such as autonomous vehicles, mobile robots, and industrial machines. As these systems becom…
cs.RO2025
Car-STAGE: Automated framework for large-scale high-dimensional simulated time-series data generation based on user-defined criteria
Asma A. Almutairi, David J. LeBlanc, Arpan Kusari
Generating large-scale sensing datasets through photo-realistic simulation is an important aspect of many robotics applications such as autonomous driving. In this paper, we consid…
cs.RO2024
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
Hanxi Wan, Pei Li, Arpan Kusari
With the advent of universal function approximators in the domain of reinforcement learning, the number of practical applications leveraging deep reinforcement learning (DRL) has e…