Want to get into robotics but don't know where to start? Save this list. 1. ROS 2 Learn the software framework used to build and control modern robots. Link: 2. OpenCV Learn computer vision for robots, cameras and perception systems. Link: 3. NVIDIA Isaac Sim Simulate robots and test algorithms before deploying them on real hardware. Link: 4. PX4 Open-source flight control software for drones and autonomous vehicles. Link: 5. ArduPilot Learn autonomous navigation, flight control and robotics systems. Link: 6. MIT OpenCourseWare Free courses covering robotics, control systems, AI and engineering. Link: 7. Modern Robotics A great resource for robot kinematics, dynamics, motion planning and control. Link: 8. The Construct Hands-on ROS and robotics learning with practical simulations. Link: 9. PULP Platform Explore low-power processors, embedded AI and edge robotics. Link: 10. Hugging Face Robotics Explore robotics models, datasets and Physical AI projects. Link:

The coolest part of Microduck might not be the robot. It's how it learns to move. This repo shows the full reinforcement learning pipeline behind Microduck. The robot learns in simulation using MuJoCo, PPO and GPU-based training, then the trained policy is exported to ONNX and deployed on the real robot. But the real challenge is sim-to-real. The simulation models things like actuator behavior, battery voltage, command delays, friction and even gear backlash. That helps make the learned policy work when it moves from simulation to the physical robot. The repo includes policies for walking, fall recovery, sitting, standing, kicking, ground picking and even roller skating. Train in simulation. Test the behavior. Export the policy. Run it on a real robot.

Want to learn how robots actually learn? Start here. Hugging Face has a free Robotics Course that takes you from classical robotics to modern learning-based approaches. You will explore how robots learn from data, work with real robotics datasets, use LeRobot, and eventually dive into reinforcement learning, imitation learning and foundation models. The best part? You don't even need a robot to get started. You can learn using simulations, datasets and hands-on code, then move to real hardware when you are ready. If you are interested in Physical AI and robot learning, this is worth bookmarking.

Don't let the tiny duck fool you… there's a serious robot hiding inside. Meet Microduck from Pollen Robotics. It is a compact biped robot packed with 15 motors, a camera, ToF LiDAR, IMUs, microphones, a speaker and an articulated beak. And the best part? The software is open source. You can create behaviors, train policies in simulation and bring them to the real robot. A tiny duck learning to walk, crouch, grasp objects and recover from falls? That's not just cute. That's a pretty fun robotics platform.