Tag: Action Chunking Transformer

Sep 14

Imitation Learning vs. Reinforcement Learning: Which Yields Better Dexterous Manipulation?

Building an anthropomorphic humanoid hand with 16 to 24 degrees of freedom is an extraordinary mechatronic achievement. Controlling it to perform high-dexterity industrial tasks—such as seating a rubber O-ring into a groove, threading an M6 bolt into a blind hole, or manipulating a flexible wiring harness—remains the hardest software challenge in robotics. Unlike bipedal locomotion, […]

Sep 14

15 min read

Vision-Language-Action (VLA) Architecture: How Neural Nets Map Pixels Directly to Motor Torques

Classical industrial robotics relies on an explicitly decoupled, modular software pipeline: perception, state estimation, motion planning, inverse kinematics (IK), and joint-level PID control. In this traditional paradigm, camera pixels are reduced to calibrated 3D bounding boxes, an analytical planner evaluates collision-free cubic splines, an inverse kinematics solver computes targeted joint angles, and motor drivers calculate […]