About ExplorRobo
ExplorRobo is a publication about robotics, Physical AI, and the engineering that makes machines move, see, and act in the real world.
The goal is simple: be a useful starting point for anyone who wants to understand, build or follow modern robots. That means technical context, primary sources, and explanations you cannot get from reading headlines.
Topics we cover
- Robots humanoids, quadrupeds, robot arms, mobile robots, drones, industrial and service robots
- AI for robotics Physical AI, embodied AI, vision-language-action models, imitation and reinforcement learning, robot foundation models
- Robot development ROS 2, MoveIt 2, Nav2, SLAM, motion planning, perception, control, sensor fusion
- Hardware NVIDIA Jetson, actuators, motors, servos, cameras, LiDAR, IMUs, force sensors, robot controllers
- Simulation NVIDIA Isaac Sim, Gazebo, MuJoCo, Webots, PyBullet, digital twins, synthetic data, sim-to-real
- Research papers, datasets, benchmarks and results from ICRA, IROS, RSS, CoRL and the labs behind them
How we work
Primary sources come first: company announcements, official documentation, GitHub repositories, papers and conference material. Every claim in a story links to something you can check. Specs are quoted from the manufacturer, never invented. If something cannot be verified, we say so or leave it out.
News is reported with context rather than as a headline list. Guides are maintained as reference material and updated as the tooling changes.
Who writes it
ExplorRobo publishes under the ExplorRobo Editorial byline rather than a personal one, and keeps personal details off the site. The desk is run by an engineer with years of robotics research and real-time systems work, and the reporting is meant to stand on its sources rather than on a biography.
What is not anonymous is the standard. Every post names its primary sources, specs are quoted rather than inferred, and anything that cannot be verified is left out or flagged as unconfirmed. Corrections are noted in the article itself.