Physical AI, robots, and autonomous systems
Inspired by Andrej Karpathy's AutoResearch, I built a system where Claude Code acts as an autonomous ML researcher on tabular binary clas...
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...
![[2509.12151] Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2509.12151: Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Roboti...
Abstract page for arXiv paper 2512.22901: A Neural Network-Based Real-time Casing Collar Recognition System for Downhole Instruments
Abstract page for arXiv paper 2512.14341: Towards Transferable Defense Against Malicious Image Edits
Abstract page for arXiv paper 2512.09085: Mental Models of Autonomy and Sentience Shape Reactions to AI
Abstract page for arXiv paper 2512.08333: Robust Finetuning of Vision-Language-Action Robot Policies via Parameter Merging
Abstract page for arXiv paper 2512.03794: AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
Abstract page for arXiv paper 2511.07441: AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
Abstract page for arXiv paper 2510.15018: UrbanVerse: Scaling Urban Simulation by Watching City-Tour Videos
Abstract page for arXiv paper 2510.10125: Ctrl-World: A Controllable Generative World Model for Robot Manipulation
Abstract page for arXiv paper 2510.09462: Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
Abstract page for arXiv paper 2510.02209: StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Abstract page for arXiv paper 2510.03253: Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
Abstract page for arXiv paper 2509.26324: COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models
Abstract page for arXiv paper 2509.25175: EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering
Abstract page for arXiv paper 2509.13574: Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies: Mitigating Mult...
Abstract page for arXiv paper 2509.11453: Beyond Frame-wise Tracking: A Trajectory-based Paradigm for Efficient Point Cloud Tracking
Abstract page for arXiv paper 2506.09434: When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
Abstract page for arXiv paper 2506.06683: RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
Abstract page for arXiv paper 2506.02860: Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Abstract page for arXiv paper 2504.13541: Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Polic...
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