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13 · ROBOTICS RL
LEARNING
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Robotics RL
Starting from first principles — reinforcement learning on real hardware.
Phase 1
FUNDAMENTALS
OSS
SIM TOOLING
Log
PUBLIC NOTEBOOK
INDUSTRIES
Robotics R&D · Automation · Manufacturing
§ ARCHITECTURE
How it fits together.
CLICK A NODE TO INSPECT →
sim → real
Foundations
Kinematics
Simulator
Training env
Policy
Learned control
Real Hardware
Deployment
Vision Link
Perception
SYSTEM OVERVIEW
Foundations first: kinematics, dynamics, basic control. Then policy learning, sim-to-real, and integration with the vision platform.
FOR YOU
Follow along as I move from classical robotics fundamentals into learned control — with the goal of taking these ideas into production-grade systems.
§ CAPABILITIES
Classical robotics
01
Policy learning
02
Sim-to-real
03
Hardware integration
04
§ IN DETAIL
a.
Foundations: kinematics → dynamics → basic control
b.
Moving into policy learning and sim-to-real
c.
Integration path with the vision platform
d.
Public learning notebook as I progress
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