298 related articles

Explore how multi-agent simulations let AI agents autonomously build civilizations. From Stanford's AI Town to civilization-scale simulations, discover memory mechanisms, emergent behavior, and implications for social science and AI safety.

Deep dive into Google DeepMind's Gemini Robotics 2 model, analyzing its VLA architecture breakthroughs, generalization gains, dexterous manipulation advances, and the future of embodied AI.

Hugging Face and Pollen Robotics launch Microduck, a $399 open-source bipedal robot with 7 pre-trained behaviors under Apache 2.0, designed for sim-to-real reinforcement learning on your desk.

WHRG'26 World Humanoid Robot Games is about to begin. This article analyzes hardware/software competition highlights, end-to-end learning trends, and the industry signals behind the event.

How do robotics and RL engineers verify control code updates? A deep dive into statistical aggregation, layered verification, Sim-to-Real gap strategies, and deployment decision-making.

Deep dive into how WorldClaw uses multi-agent AI collaboration to generate large-scale 3D open worlds, with analysis of technical challenges and applications in gaming and digital twins.

The 2nd World Humanoid Robot Games will be held August 22–26 at Beijing's Ice Ribbon, featuring 666 teams and 2,056 robots from 16 countries competing in 51 events across 1,301 matches.

A deep dive into the Agent improvement loop: automated evaluation (Eval) and environment engineering, covering LLM-as-a-Judge, trajectory evaluation, and simulation environments for scalable Agent deployment.

An open-source game behavior capture tool that synchronously records gameplay video and keyboard/mouse input with frame-level alignment, providing structured datasets for imitation learning and world model research.

Pollen Robotics releases Microduck, an open-source micro humanoid robot with a sim2real pipeline, enabling hobbyists to do real-robot reinforcement learning and decentralizing robotics innovation.

WorldClaw is Tencent's 3D world generation framework that transforms a single sentence into explorable, editable open worlds using planning agents and self-inspection mechanisms.

Why can AI generate Super Mario but can't design a simple ramp for a robot vacuum? This article explores the fundamental gap between imitating data distributions and understanding physical reality.

In-depth comparison of three end-to-end ML projects in GreenTech: smart energy forecasting, building energy optimization, and energy prediction with anomaly detection—analyzed by technical difficulty, business value, and MLOps completeness.

A data scientist open-sourced an RL environment for Pokelike, a Pokémon-style Roguelike, with structured state input, reproducible experiments, and baseline agents. Developers are invited to submit RL algorithms to compete on the leaderboard.

Microduck is an open-source bipedal robot by Pollen Robotics with excellent sim2real transfer via precise actuator modeling. Learn its tech, open-source value, and future directions.

Exploring how OpenAI Gym RL environments map to real-world scenarios, from CartPole to MountainCar, covering design principles and the sim-to-real transfer challenge.

Addressing the high barriers, isolation, and lack of practical feedback faced by Stanford CS234 RL self-learners, with actionable advice on group learning strategies, community resources, and project-driven approaches.

APAC Egocentric Stereo dataset covers real work scenes like garages, factories, and construction sites with stereo vision, depth, and hand tracking for robot training.

A deep dive into how real dog videos can train robot dogs for locomotion control, covering pose estimation, motion retargeting, PPO reinforcement learning, and the challenges ahead.

Open-source reinfors v0.3.0 adds CarRacing with a Rust backend, achieving 20x faster stepping than Gymnasium. Features overlapping train/sample execution via collect_stream, compatible with PyTorch and JAX.