Physical AI, robots, and autonomous systems
The idea is called HALO - Hierarchical Autonomous Learning Organism. The core premise is simple: what if instead of just making LLMs bigg...
The idea is called HALO - Hierarchical Autonomous Learning Organism. The core premise is simple: what if instead of just making LLMs bigg...
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Abstract page for arXiv paper 2603.19308: GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space
Abstract page for arXiv paper 2603.19305: PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking
Abstract page for arXiv paper 2603.20101: Pitfalls in Evaluating Interpretability Agents
Abstract page for arXiv paper 2603.19782: Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
Abstract page for arXiv paper 2603.19685: A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
This innovative technology mimics the movement of real fish to navigate delicate underwater ecosystems without disturbing marine life. By...
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Abstract page for arXiv paper 2512.03194: GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding
Abstract page for arXiv paper 2511.18140: Observer-Actor: Active Vision Imitation Learning with Sparse-View Gaussian Splatting
Abstract page for arXiv paper 2506.18812: Learning Physical Systems: Symplectification via Gauge Fixing in Dirac Structures
Abstract page for arXiv paper 2508.20315: Multi-Agent Reinforcement Learning in Intelligent Transportation Systems: A Comprehensive Survey
Abstract page for arXiv paper 2506.03938: FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review
Abstract page for arXiv paper 2603.05296: Latent Policy Steering through One-Step Flow Policies
Abstract page for arXiv paper 2603.04466: Act-Observe-Rewrite: Multimodal Coding Agents as In-Context Policy Learners for Robot Manipulation
Abstract page for arXiv paper 2603.05113: Decoupling Task and Behavior: A Two-Stage Reward Curriculum in Reinforcement Learning for Robotics
Abstract page for arXiv paper 2603.05000: Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AM...
Abstract page for arXiv paper 2603.04898: U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Inte...
Abstract page for arXiv paper 2603.04790: Diffusion Policy through Conditional Proximal Policy Optimization
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