33 related articles

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.

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 from lab demos 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 of bringing embodied AI from lab 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.

Alibaba open-sources a 2.4 trillion parameter Qwen model and launches the Qwen Token Plan. Chinese models surge, Kimi K3 tops global rankings, and China's AI is reshaping the global competitive landscape.

Squint open-source research enables a $120 SO-101 arm to search beyond its camera FOV using 16×16 pixel input, achieving 100% success in 24 min on an RTX 4060.

Mistral launches its first embodied navigation model: 8B parameters, single RGB camera, 76.6% success rate in unseen environments — beating LiDAR-based multi-sensor systems.

Behind the Cubic Doggo 06R quadruped robot's 4mm foot lift: 70% servo load, the weight-vs-rigidity dilemma, and a roadmap from mechanical prototype to reinforcement learning.

Keen Technologies releases its first paper, bringing classic Atari benchmarks into the physical world via robotic arms and cameras. A deep dive into the paper's core claims, sim-to-real challenges, and Carmack and Sutton's vision for embodied RL and AGI.
Evaluating General-Purpose Robot Polic…
How do you scientifically evaluate general-purpose robot policies for real-world deployment? This article breaks down evaluation challenges, task design, generalization testing, and the sim-to-real gap.

WorldBench is an open-source Python toolkit for evaluating robot world models, covering prediction fidelity, long-horizon consistency, physical plausibility, and more—enabling standardized comparisons across teams and papers.