From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs
Autonomous flight in cluttered environments requires a robot to build a geometric map of its surroundings and plan sa...
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Autonomous flight in cluttered environments requires a robot to build a geometric map of its surroundings and plan sa...
Reinforcement learning with verifiable rewards (RLVR) improves reasoning in large language models. Yet, typical RLVR ...
As AI agents begin to automate AI R&D, we need ways to assess whether their outputs are safe to deploy, even when the...
Associative emotional learning enables organisms to adaptively link pleasant or unpleasant outcomes to the presence o...
Reinforcement learning with verifiable rewards (RLVR) is rapidly advancing the reasoning capabilities of language mod...
Diffusion-based methods have achieved remarkable empirical success in solving inverse problems. However, many existin...
Agentic systems large language model (LLM) based architectures capable of reasoning, planning, acting, and coordinati...
Coding agents increasingly operate in executable environments where a failed attempt produces actionable feedback rat...
Controllable image generation remains challenging for creative professionals, who often require precise regional cont...
Large language models that generate step-by-step reasoning traces have achieved strong performance on complex tasks, ...
Controllable image generation remains challenging for creative professionals, who often require precise regional cont...
Video models absorb rich priors over how the visual world moves, interacts, and responds to contact, making them prom...