References

The courses, books, docs and papers the curriculum rests on. Each lesson has its own source list at the end of its page.

Curriculum backbone

The parts and lesson order were built by studying the common chain shared by these curricula (space and transforms → kinematics → dynamics and control → perception → estimation → learning → sim-to-real).

Source	What it contributed
Lynch & Park, Modern Robotics	Frames, FK/IK, dynamics, trajectories, control, grasping (Parts 2–4)
Tedrake, Robotic Manipulation	Spatial algebra, pose estimation, perception (Parts 2, 5)
Tedrake, Underactuated Robotics	System identification, state estimation (Parts 5, 6, 9)
Hugging Face Robotics Course	Classical robotics → RL → imitation flow
Capuano et al., Robot Learning: A Tutorial, arXiv 2510.12403	RL → behavior cloning → generalist policies
LeRobot docs	Calibration → teleop → recording → training → evaluation workflow (Parts 7, 9)
NVIDIA · SO-101 Sim-to-Real	Sim-to-real strategies (Part 9)
Berkeley CS285	Order of behavior cloning and RL (Parts 7, 8)
MuJoCo Playground, arXiv 2502.08844	Parallel locomotion training on GPU (Part 8)
Rohit Ghumare et al., AI Engineering from Scratch (MIT)	Lesson format and the “from scratch” approach (structural inspiration; no content copied)

Tools and models

• MuJoCo docs · XML reference · Computation
• MuJoCo Menagerie: robotstudio_so101 (Apache-2.0), unitree_go2 (BSD-3-Clause), boston_dynamics_spot
• unitree_rl_gym (BSD-3-Clause) · legged_gym
• strands-robots (Apache-2.0)
• openpi

Papers

Short name	Paper
ACT	Zhao et al., Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware, arXiv 2304.13705
DAgger	Ross et al., A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning, arXiv 1011.0686
Diffusion Policy	Chi et al., arXiv 2303.04137
Domain randomization	Tobin et al., arXiv 1703.06907
Sim-to-real locomotion	Tan et al., arXiv 1804.10332
π0	Black et al., arXiv 2410.24164
SmolVLA	Shukor et al., arXiv 2506.01844
PPO	Schulman et al., arXiv 1707.06347
MuJoCo Playground	Zakka et al., arXiv 2502.08844

Physics

• OpenStax, University Physics Volume 1 (friction, inclined plane)
• Åström & Murray, Feedback Systems (open and closed loop)
• Bishop, Pattern Recognition and Machine Learning (2006)