#Robot Operating System
201 related articles
·7 min
Complete Guide to Installing and Deploying Claude Code: Configure Your AI Coding Tool from Scratch
A detailed walkthrough of the full Claude Code installation process: environment setup, npm installation, proxy configuration for networks in China, API integration, and CC Switch provider management—helping beginners quickly get started with this AI coding tool.
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·5 min
Getting Started with AI Agents: Concepts, Architecture, and Core Components Explained
What is an AI Agent? Starting from Bill Gates' claim about the computing revolution, this article explores AI Agents' intuitive concepts, four core components (LLM+Planning+Memory+Tools), and what Agent development means for programmers.
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·2 min
yaml-cpp: The Go-To Open Source Library for Parsing YAML in C++
yaml-cpp is the most popular YAML parsing and emitting library for C++, supporting YAML 1.2 with a clean Node API and custom type conversion. Used by ROS and more.
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·6 min
GPT-5.6 Now Widely Available: The Era of Three-Tier Models and Multi-Agent Orchestration Arrives
OpenAI releases GPT-5.6 (SOUL/TERRA/LUNA), with Ultra mode running four agents in parallel; Meta launches Muse Spark 1.1 with million-token context; ChatGPT desktop unifies Chat, Work, and Codex.
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·3 min
GPT-5.6 Released: Sol, Terra, and Luna Reshape AI Programming and Office Automation
OpenAI launches GPT-5.6 with three models — Sol, Terra, and Luna — plus ChatGPT Work, a new desktop app, and Hosted Sites. Codex now autonomously trains models.
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·3 min
GPR, LiDAR, and Photogrammetry: How Archaeological Tech Recovers Lost Hollywood Sets and Shipwrecks
How GPR, LiDAR, and photogrammetry uncover Cecil B. DeMille's buried film set, a Hollywood stunt shipwreck, and a Gold Rush ghost town in Drain the Oceans.
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·7 min
Gemini Live Integrates Nano Banana: A Complete Guide to Real-Time Camera, Image Generation, and Maps Integration
Google's Gemini Live now integrates the Nano Banana image generation model with Connected Apps like Google Maps, supporting real-time camera scene understanding and visualization. Free worldwide.
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·8 min
GPT-5.6 Hands-On: Farm Automation, Mathematical Breakthroughs, and End-to-End AI Execution
GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.
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·7 min
1X Unveils NEO Robotic Hand: 25 DoF Tendon-Driven Design Ushers Dexterous Hands into the Mass-Production Era
1X unveils a new robotic hand for its NEO humanoid: 25 DoF, tendon-driven quasi-direct-drive architecture, full-joint force control, tactile skin, IP68 waterproofing, and compliant safety design, with capacity for 10,000 units a year.
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·3 min
Reality Is Far Richer Than We Imagine: Why Our Plans Always Fall Short
From a wooden staircase to AI models, reality always contains more detail than our abstractions can hold. This article unpacks the "detail explosion" behind project overruns and AI failures — and offers a practical philosophy for living with complexity.
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·4 min
AI Agent Development Deep Dive: Opportunities, Real Entry Barriers, and Learning Paths
A deep dive into AI Agent development: real architecture, entry barriers, and learning paths. From ReAct to multi-agent systems and LangChain — cut through the hype.
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·2 min
Beyond Voice Commands: The Future Evolution of Multimodal Human-Robot Interaction
Voice isn't the only answer for human-robot interaction. Explore how gesture recognition, eye tracking, and environmental sensing are transforming robots from command-followers to intent-understanding partners.
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·4 min
Hardware-Level Phone AI Agent Control: Bypassing Software Restrictions with HDMI + USB HID
An open-source project uses HDMI capture for screen vision and USB HID to simulate touch input, enabling root-free, app-free hardware-level phone AI Agent control. Explore the principles, advantages, and limitations.
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·7 min
DIY Four-Wheel Skid-Steer Off-Road Robot: A Full Hands-On Log of a Hoverboard Motor Build
A Reddit hobbyist builds a four-wheel skid-steer off-road robot using hoverboard hub motors, ODrive boards, and a Raspberry Pi 5. A deep dive into hardware, 4G teleop, ground friction challenges, and the road to ROS2 autonomous navigation.
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·6 min
MIRA: An Analysis of a Multiplayer Interactive World Model Built on Rocket League
MIRA is an interactive world model project for the multiplayer competitive game Rocket League, exploring how neural networks simulate multi-agent interaction and complex physics. An in-depth look at its significance, challenges, and prospects.
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·4 min
Agent Draw: An AI Whiteboard That Draws While You Talk
Agent Draw is an AI whiteboard built on TLDraw that lets you speak or type to have an AI agent draw flowcharts and diagrams in real time. A deep dive into its tech, design, and use cases.
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·6 min
Xiaomi XiaoAI 10.1-inch Smart Control Panel: Is the AI LLM Integration Worth It?
Xiaomi XiaoAI 10.1-inch Smart Control Panel features AI LLM Q&A, WeChat calling, and whole-home Mi IoT control. Priced at 839 yuan, ~679 yuan after national subsidy. An in-depth review of AI capabilities, screen experience, and smart home integration.
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·6 min
OpenAI's Head of Evals: We've Been Consistently Underestimating What AI Models Can Really Do
OpenAI Frontier Evals lead Tejal Patwardhan reveals AI models are systematically underestimated — reasoning breakthroughs, wet lab records, the internal AGI Index, and a progress curve far steeper than most realize.
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·5 min
OSWorld 2.0 Benchmark: Top AI Agents Achieve Only 20% Completion Rate — Long-Horizon Tasks Are the Fatal Weakness
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks (median 1.6 hrs for humans). Claude Opus tops out at 20.6% completion, exposing critical AI Agent weaknesses in state maintenance and self-correction.
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·5 min
OSWorld 2.0 Benchmark: Top AI Agent Achieves Only 20% Completion Rate — Long-Horizon Tasks Are the Achilles' Heel
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.
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