61 related articles

A tailored ML guide for control theory learners covering reinforcement learning, data-driven control, Learning-based MPC, and a three-stage roadmap with practical advice.

A developer tests Anthropic's Opus 5 model, generating a playable kart racing simulator from a single prompt. Deep analysis of its 3D spatial understanding and industry implications.

A detailed guide on acquiring large-scale stereo camera and IMU synchronized datasets, covering KITTI, EuRoC, nuScenes, Waymo, and strategies for combining datasets while avoiding synchronization pitfalls.

Explore RRT co-inventor James Kuffner's career from Cloud Robotics and Google Robotics to Symbotic CTO, driving robots from labs to Walmart warehouse-scale deployment.

Deep dive into Google DeepMind's Gemini Robotics 2: its whole-body intelligence, dexterous manipulation, adaptive reasoning, and how multi-robot collaboration is advancing embodied AI from lab to reality.

Deep dive into Google DeepMind's Gemini Robotics 2: its three core capabilities of whole-body intelligence, dexterous manipulation, and adaptive reasoning, plus how multi-robot collaboration is pushing embodied AI from labs into the physical world.

Deep analysis of how Google DeepMind's Gemini Robotics 2 empowers Apptronik's Apollo 2 humanoid robot with whole-body intelligence, exploring VLA model breakthroughs and the commercialization outlook for general-purpose robots.

Deep dive into Google DeepMind's Gemini Robotics 2: how whole-body intelligence unifies perception, reasoning, and motor control, and the challenges of bringing embodied AI from lab to commercial deployment.

Deep dive into Google DeepMind's Gemini Robotics 2: how whole-body intelligence unifies perception, reasoning, and motor control, and the challenges from lab demos to commercial deployment.

Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.

Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.

Quadruped robots achieve 5+ m/s running speed with payload and off-road capability. Explore how RL Sim-to-Real methods break the impossible triangle of speed, load, and terrain adaptability.

In-depth analysis of AI autonomous combat tanks: reinforcement learning training, environmental perception, decision engines, global military AI competition, and the ethical dilemmas of lethal autonomous weapons systems.

Deep dive into how Transformer² uses a unified Transformer architecture to integrate robot morphology design and motion control into one model, enabling task-driven end-to-end co-design for embodied AI.

Analysis of world models as RL training environments: long-horizon consistency progress, how systematic error bias poisons policy transfer, and the emerging division of labor with traditional simulators.

A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.

A hands-on case study: using Claude Code and the LVGL graphics library to build a Tetris game running on an embedded dev board from scratch in under 3 hours.

A hands-on case: using Claude Code and the LVGL graphics library to build a Tetris game running on an embedded board from scratch in under 3 hours.

GPT-5.6 Sol tops Chatbot Arena's frontend leaderboard, Claude Code gains a built-in browser, Sol Ultra proves a 50-year math conjecture, and Gemma 4 gets 5x faster.

This AI Daily covers five sectors: DeepSeek V4 reportedly enters grayscale testing with improved chain-of-thought; Musk previews Grok 4.6 and 5.0 with 2T parameters; Intern-S2 open-source model beats Claude Opus 4.8; xAI builds 2000MW Colossus cluster; NVIDIA RoboTTT breaks long-horizon robotics barriers.