Learning guide
Choose a path by its goals and prerequisites. Start at the beginning or jump to the topic you need.
Articles · 8Browser Labs · 9
Connect observations, state, maps and behavior through existing explanations and experiments.
Start with sensor, position and velocity terminology. Frames use vectors and matrices; estimation uses probability. Each topic links to its background.
Articles · 5Browser Labs · 8
Distinguish feedback, estimation and optimization, and test responses in PID and Kalman experiments.
Basic functions, calculus and vectors are used. Topic prerequisites link to state-space and closed-loop explanations.
These lists follow category order. For articles also in a learning path, previous and next links follow that learning path.
Articles · 11Browser Labs · 7
The ideas behind robot perception, localization, and recognition, connected in a progression from intuition to mathematics and implementation.
No robot-building experience required; linked articles introduce frames and estimation mathematics.
Articles · 6Browser Labs · 8
PID, state-space, optimal control, path planning, and trajectory generation connected to robot and autonomous-vehicle implementation.
Basic functions, calculus and vectors; follow the definitions alongside the equations.
Articles · 9Browser Labs · 5
Connect plants, light, air, water and roots to understand measurement and control in greenhouses and indoor farms.
The CEA introduction and units of time, mass, and pressure.
Articles · 14Browser Labs · 1
Generation, substations, transmission, and storage treated as one electrical power system, with the principles and tradeoffs of each.
Multiplication and unit conversion; linked articles introduce technical terms.
Articles · 17Browser Labs · 4
Sensors, computers, actuators, and power systems explained through physical principles, specifications, real products, selection tradeoffs, and limitations.
Units used in specifications, such as voltage, current, distance and time.
Articles · 10Browser Labs · 0
Where robotics and AI technologies came from, which approaches now compete or converge, and what problems remain unresolved.
Basic terminology of the technology; consult the linked fundamentals as needed.
Articles · 21Browser Labs · 0
Company scale, business structure, products, technology strategy, and locations examined through timelines and comparisons grounded in filings, IR material, and official releases.
No specialist background required; check the reporting period and scope of financial measures.
Articles · 15Browser Labs · 4
How images reveal features, motion, geometry, and camera pose, connected to Visual SLAM and its surrounding methods.
Basic vectors, matrices and camera projection.
Articles · 7Browser Labs · 0
The mechanisms, sensors, autonomy, and electrification of tractors, combines, and rice transplanters across current products and research.
Basic force, motion and energy terminology; use the linked background explanations.
Articles · 7Browser Labs · 0
Mechanical, hydraulic, drivetrain, and automation technologies in excavators, bulldozers, and dump trucks.
Basic force, motion and energy terminology; use the linked background explanations.
Articles · 4Browser Labs · 1
Circuits that convert voltage, current, and frequency through semiconductor switching, from fundamentals to industrial applications.
Circuit voltage, current, resistance, inductors and capacitors.
Articles · 8Browser Labs · 1
Engines, transmissions, electric and hybrid drivetrains, braking, and suspension compared as energy-conversion systems.
Basic force, motion and energy terminology; use the linked background explanations.
Articles · 5Browser Labs · 0
V2X, SAE automation levels, occupancy grids, behavior planning, and HD maps connected to perception and control.
Basic force, motion and energy terminology; use the linked background explanations.
Articles · 7Browser Labs · 1
From the fundamentals of neural networks through reinforcement learning, object detection and recognition, and generative models, explained through both implementation and math.
Basic functions, probability and vectors.
Articles · 8Browser Labs · 0
MDPs and Bellman equations through deep RL, imitation learning, and Sim-to-Real, always tied to robot applications.
Basic probability and machine learning.
Articles · 0Browser Labs · 3
Technical development and operating notes that do not fit the other categories.
Basic Docker run/container knowledge; examples use Linux containers.
Learn concepts and theory
Learn structure and behavior
Try it in practice
Build it yourself