Tag: autonomous systems
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Additively Compositional Latent Actions for Embodied AI
Discover AC-LAM, a novel model enhancing embodied AI by learning structured, additive latent actions for improved motion and task performance.
History-Dependent Perception in Adaptive Artificial Agents
Explore how artificial agents use history-dependent perceptual reorganization to adapt and encode observations differently for smarter AI behavior.
Drifting MPC: Optimizing Trajectories with Receding-Horizon Control
Discover Drifting MPC, a novel receding-horizon control method that optimizes trajectories using offline data and unknown system dynamics.
Ensuring Reliable Trajectories in Agentic Information Retrieval
Explore how to build reliable agentic IR systems by addressing planning, retrieval, reasoning, and execution errors for safer autonomous workflows.
Mission-Aligned Control for Safe Autonomous Systems
Explore mission-aligned learning-informed control to enhance safety, reliability, and efficiency in autonomous systems using RL and classical planning.