A 200-Page Comprehensive Guide to Robotics Fundamentals
2C_ornot2C · x · 2026-07-18
The author spent weeks manually writing a 200+ page guide to robotics fundamentals, aiming to help readers "build a complete robotics knowledge framework from scratch."
The guide covers a wide range of topics:
- Kinematics: Forward/Inverse Kinematics, Jacobian, Degrees of Freedom
- Control: PID, Force/Impedance Control, Feedforward Control
- SLAM: Bayes Filter, Kalman/Particle Filter, Mapping
- Motion Planning: Dijkstra, A, RRT, RRT
- Reinforcement Learning: MDP, Policy Gradient, PPO, Sim2Real
- VLA / Embodied AI: Q/K/V, ViT, SigLIP, Diffusion/Flow Matching
- Tools & Methods: ACT, Diffusion Policy, UMI, LeRobot
- World Models: Dreamer, VideoGen, Gaussian Splatting
The author emphasizes that this resource is free and aimed at those who want to systematically dive into robotics.
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