3 accepted papers
Ride-hailing platforms face the challenge of balancing passenger waiting times with overall system efficiency under highly uncertain supply–demand conditions. Adaptive delayed matching, which controls the holding intervals for batched sets of requests and vehicles, reveals an inherent trade-off betw…
Accurate perception, state estimation and mapping are essential for safe robotic navigation as planners and controllers rely on these components for safety critical decisions. However, existing mapping approaches often assume perfect pose estimates, an unrealistic assumption that can lead to incorre…
Simulating society with large language models (LLMs), we argue, requires more than generating plausible behavior; it demands cognitively grounded reasoning that is structured, revisable, and traceable. LLM-based agents are increasingly used to emulate individual and group behavior, primarily through…