#robot foundation models
438 related articles
·4 min
Argentic: Building Toll Booths for AI Crawlers with the Lightning Network
Argentic uses the L402 protocol and Bitcoin Lightning Network to build a micropayment toll system for AI crawlers. This article analyzes its technical principles and implications for the agent economy.
Read more →
·3 min
What Is AGENTS.md: Can a Unified Configuration Standard for AI Coding Tools End Fragmentation?
AGENTS.md aims to provide a unified project configuration standard for AI coding tools like GitHub Copilot, Cursor, and Claude Code, addressing the proliferation of .cursorrules and CLAUDE.md files.
Read more →
·3 min
The Bayesian Brain of AI Agents: Dissecting the Cognitive Architecture Design for Autonomous Agents
Exploring how autonomous AI agents can build reliable cognitive architectures through Bayesian reasoning—from Gauguin's goal-setting to Descartes' self-verification to Bayes' belief updating.
Read more →
·4 min
AI-Driven Testing in Practice: A Complete Guide to Building Your Claude Code Testing Workbench
Learn the key differences between AI-driven and AI-assisted testing, plus a step-by-step guide to building a Claude Code + DeepSeek testing workbench with five-layer architecture.
Read more →
·3 min
CHAP Protocol Explained: The Core Solution for Standardizing Human-AI Agent Collaboration
Deep dive into CHAP (Collaborative Human Agent Protocol): its design philosophy, core architecture, and application scenarios. Analysis of its relationship with MCP and A2A protocols.
Read more →
·5 min
From AI to Large Models: Understanding the Conceptual Landscape and Technological Evolution of Artificial Intelligence
Understand how AI, machine learning, deep learning, large models, and generative AI relate to each other. From Deep Blue to ChatGPT, learn how Transformer architecture gave rise to LLMs.
Read more →
·3 min
A Beginner's Guide to AI Agents: Understanding How Digital Workers Are Reshaping Human-Computer Interaction
A comprehensive guide to AI Agents: their core capabilities, how they work, and real-world examples showing how natural language can drive devices to complete tasks autonomously.
Read more →
·3 min
GEN-1.5 Robot Foundation Model Released: One-Shot Learning Breakthrough Enables Robots to Master New Tasks from a Single Demonstration
Generalist AI releases robot foundation model GEN-1.5 with one-shot learning capability, enabling robots to master new tasks from a single demonstration. Deep dive into its technology and industry impact.
Read more →
·4 min
Fei-Fei Li on AI: Visual Intelligence, the Boundaries of Creativity, and Human Agency
Stanford professor Fei-Fei Li discusses AI and visual science on Huberman Lab, explaining how ImageNet ignited modern AI, AI's capability boundaries, healthcare applications, and why human agency is the central question in AI development.
Read more →
·3 min
Is the CLIP Vision Encoder Becoming a Bottleneck for VLMs? The Multimodal Architecture Debate
Analyzing CLIP vision encoder limitations in modern VLMs, exploring shortcomings in counting and spatial reasoning, plus alternatives like hybrid encoders and high-resolution processing.
Read more →
·3 min
ROS Establishes Physical AI Special Interest Group: Open-Source Robotics Ecosystem Embraces Embodied Intelligence
OSRA officially establishes a Physical AI SIG to integrate physical AI capabilities into the ROS ecosystem. Explore its goals, roadmap, and impact on robotics developers.
Read more →
·3 min
Unitree G1 Autonomous Kart Driving Video: Technical Breakdown and Community Skepticism
The Unitree G1 humanoid robot autonomous kart driving video sparks controversy. This article analyzes its authenticity through technical feasibility, editing clues, and publisher credibility.
Read more →
·3 min
GitHub Trending Roundup: 9 AI Open-Source Projects Worth Watching
Roundup of 9 AI open-source projects from GitHub Trending, covering Needle's 14MB edge model, AI Agent workspaces Macro and OlaOS, SpecKit for spec-driven development, and more.
Read more →
·3 min
Robot Learning Data Collection: A Deep Comparison of Three Paradigms — Egocentric, UMI, and Teleoperation
A deep comparison of three robot learning data collection methods: egocentric, UMI gripper, and teleoperation data — their differences, trade-offs, and applications in embodied AI.
Read more →
·2 min
Calibra: A Detailed Guide to the Open-Source Quality Inspection Tool for Robot Learning Datasets
Calibra is an open-source quality inspection tool for robot learning datasets that detects duplicate demonstrations, frozen frames, motion jitter, calibration drift, and more.
Read more →
·2 min
AdmitRaven: The Duolingo for College Applications — Daily Micro-Lessons Replace $10K Consultants
AdmitRaven uses Duolingo-style daily micro-lessons to break college applications into bite-sized tasks, offering AI essay coaching, school matching, and real admitted student essays at a fraction of traditional counselor costs.
Read more →
·3 min
The $4,199 Pandroid Robot and Tencent's WorldClaw 3D World Generation Technology Explained
Deep analysis of Pentagraph's $4,199 Pandroid robot, Tencent's WorldClaw text-to-3D world technology, and a $99 ESP32 pocket AI terminal, exploring the trend toward low-cost, accessible AI.
Read more →
·3 min
Can Spiking Neural Networks Actually Improve Efficiency on Edge Devices?
An in-depth analysis of SNN energy efficiency on edge devices like ESP32, exploring neuromorphic chip deployment challenges, MCU architecture mismatch, and pragmatic choices for edge AI developers.
Read more →
·5 min
Complete Guide to IT Career Paths: 6 Major Tracks & Education-Matching Strategy
In-depth analysis of 6 IT career tracks: Algorithm Engineer, Large Model Developer, AI+Programming, Embodied Intelligence, FDE, and Intelligent Testing, with probability-based guidance matched to education level.
Read more →
·4 min
Agentic Engineering: How AI Agents Are Reshaping Physics Simulation and Robotics Development
Deep dive into the agentic engineering paradigm from NVIDIA's SIGGRAPH demo—from vibe coding to controlled workflows, and how Omniverse libraries empower AI Agents for physics simulation and robotics.
Read more →