Series
Manipulation Masterclass
The "Manipulation Masterclass" series has 7 parts — read them in order from part 1.
Manipulation
Robot Grasping 101: Analytical to Learning-Based
From traditional force closure to deep learning grasp detection -- overview of modern grasping methods and how to choose right approach for your project.

Imitation Learning for Manipulation: BC, DAgger, ACT
Data collection via teleoperation, Behavioral Cloning pipeline, DAgger fixes distribution shift, and ACT -- comprehensive guide for teaching robots manipulation from demonstrations.

Diffusion Policy in Practice: From Theory to Code
DDPM recap, Diffusion Policy architecture (CNN vs Transformer), implementation with LeRobot, and benchmark results — complete practical guide.

VLA for Manipulation: RT-2, Octo, pi0 in Practice
Vision-Language-Action models changing manipulation — from Google's RT-2 to pi0 by Physical Intelligence, with fine-tuning and real-world limitations.

Dexterous Manipulation: Teaching Robot Hands
In-hand rotation, tool use, DexGraspNet and tactile sensing — complete guide to dexterous manipulation with multi-finger robot hands.

Bimanual Manipulation: Teaching Robots to Use Both Arms
ALOHA hardware, Mobile ALOHA, ACT for bimanual tasks, data collection tips and LeRobot SO-100 dual arm — complete guide to bimanual manipulation.

Building Manipulation Systems with LeRobot: From Zero to Deployment
Complete end-to-end tutorial: setup LeRobot, record demonstrations, train policy (ACT/Diffusion), evaluate and deploy to real robot arms.