Motors To Swarms

How to Design Robotic Systems

48 modules

194 lessons

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Part 1

Course Setup and the Incremental Ladder

Course Setup and the Incremental LadderSign in
Why "Motors to Swarms"Sign in
How to Use This CourseSign in
The Incremental Ladder (Step 0 to Step 7)Sign in
The Course LensesSign in
Diagram Legend and Notation TypesSign in

Part 2

Robots as Perceive–Plan–Act Systems

Robots as Perceive–Plan–Act SystemsSign in
Sensors to Computation to ActuatorsSign in
Automation vs RoboticsSign in
Robot TaxonomySign in

Part 3

Bodies, Joints, and Degrees of Freedom

Bodies, Joints, and Degrees of FreedomSign in
Links, Joints, and Degrees of FreedomSign in
Joint Types and Mobility PrimitivesSign in
Common Kinematic Structures and the Boundaries They ImposeSign in

Part 4

Coordinate Frames and Transformations

Coordinate Frames and TransformationsSign in
Reference Frames and Operational NamingSign in
Rigid Transforms Conceptually: Rotation and TranslationSign in
Frame Trees: Consistency, Calibration Dependencies, and Error PropagationSign in

Part 5

Sense–Think–Act Architectures

Sense–Think–Act ArchitecturesSign in
Layering the Robot: Time-Scale Boundaries Between Control, Perception, Planning, and Task LogicSign in
Real-Time vs Best-Effort Compute: Deadlines, Jitter, and Where Determinism MattersSign in
Single Robot vs Fleet Layers: Adding Supervisory and Coordination PlanesSign in

Part 6

Diagramming Robotic Systems

Diagramming Robotic SystemsSign in
Kinematic and Frame Diagrams: The Robot's Spatial ContractSign in
Control Loop Diagrams: Inner Loops, Outer Loops, and Time-Scale SeparationSign in
Perception, Navigation, and Coordination Graphs: Dependencies as Failure DomainsSign in

Part 7

Step 0 Forward Kinematics

Step 0 Forward KinematicsSign in
Joint Space vs Task Space: Commanding Joints vs Commanding PosesSign in
Computing Pose from Joints: Forward Kinematics as a Deterministic Geometry PipelineSign in
Worked Structures: A 2-Link Planar Arm and Simple Mobile BasesSign in

Part 8

Step 0 Inverse Kinematics (Conceptual)

Step 0 Inverse Kinematics (Conceptual)Sign in
Pose to Joint Configuration: Why "The Inverse" Is Often Ambiguous or ImpossibleSign in
Multiple Solutions and Constraints: Preferences, Limits, and Collision Constraints Shaping IK OutputsSign in
Numerical vs Analytical Approaches: Trade-Offs in Generality, Speed, and RobustnessSign in

Part 9

Step 0 Constraints and Workspaces

Step 0 Constraints and WorkspacesSign in
Joint Limits and Collisions: Constraints as Safety and Feasibility BoundariesSign in
Singularities Conceptually: Where Small Joint Changes Produce Unstable or Unbounded Task-Space BehaviorSign in
Workspace and Reachability Diagrams: Making Feasibility Visible Before You Write Control CodeSign in

Part 10

Step 1 Actuation Fundamentals

Step 1 Actuation FundamentalsSign in
Actuator Families: DC, BLDC, Servos, Linear Actuators and What They Imply for Control Effort (Conceptual)Sign in
Gearboxes and Backdrivability: Torque-Speed Trade-Offs and the Operational Consequences for SafetySign in
Power and Thermal Limits: Why "More Torque" Is Always Coupled to Current, Heat, and Duty CycleSign in

Part 11

Step 1 Sensing the Robot and the World

Step 1 Sensing the Robot and the WorldSign in
Core Sensors: Encoders, IMUs, Limit Switches, Simple Range Sensors and What Each Can and Cannot Tell YouSign in
Sensor Characteristics: Range, Resolution, Noise, Bandwidth as Constraints on Achievable ControlSign in
Mounting and Calibration Concepts: Alignment, Biases, and Why Frames Must Match KinematicsSign in

Part 12

Step 1 Feedback Control: Concepts

Step 1 Feedback Control: ConceptsSign in
Controlled Variable, Setpoint, Error: The Minimal Vocabulary of Closed-Loop ControlSign in
Proportional Control and Oscillation: Why Feedback Can Destabilize if You Ignore Dynamics and DelaysSign in
PID Intuition: What P/I/D Contribute and How Each Term Fails When Misapplied (Conceptual)Sign in

Part 13

Step 1 Joint and Wheel Controllers

Step 1 Joint and Wheel ControllersSign in
Position, Velocity, Torque Modes: Choosing What the Actuator Tries to RegulateSign in
Cascaded Loops: Inner Velocity and Outer Position and Why Time-Scale Separation MattersSign in
Conceptual Tuning: Stability Versus Responsiveness and the Cost of Aggressive GainsSign in

Part 14

Step 2 Dynamics (Conceptual)

Step 2 Dynamics (Conceptual)Sign in
Mass, Inertia, Friction, Disturbances: Why Robots Are Never Purely Kinematic in PracticeSign in
Dynamics as Control Reality: How Unmodeled Dynamics Appear as Tracking Error and InstabilitySign in
Manipulators vs Mobile Bases: How Morphology Changes the Dominant Dynamics and ConstraintsSign in

Part 15

Step 2 Motion Profiles and Trajectories

Step 2 Motion Profiles and TrajectoriesSign in
Velocity and Acceleration Limits - Respecting Actuators and Mechanics as First-Class ConstraintsSign in
Trapezoidal and S-Curve Profiles - Shaping Motion to Reduce Jerk, Slip, and OscillationSign in
Trajectories as State Sequences - Feeding Low-Level Loops with Time-Indexed TargetsSign in

Part 16

Step 2 Cascaded Control Architectures

Step 2 Cascaded Control ArchitecturesSign in
Current/Torque, Velocity, Position Loops: Layering Control to Match Time ScalesSign in
Separation of Time Scales: Why Inner-Loop Stability Is Prerequisite for Outer-Loop IntelligenceSign in
Robustness Considerations: Disturbance Rejection, Saturation, and How Limits Reshape StabilitySign in

Part 17

Step 2 Safety, Limits, and Interlocks

Step 2 Safety, Limits, and InterlocksSign in
Soft Limits and Hard Stops: Physical Versus Software Enforcement and Failure ContainmentSign in
Fault Detection Signals: Overcurrent, Overheating, Stall Detection and What Each Implies About Root CauseSign in
Emergency Stop and Safe States: Designing Behavior for the Worst Second of the Robot's LifeSign in

Part 18

Step 2 Calibration and Homing

Step 2 Calibration and HomingSign in
Homing at Startup: Establishing a Known State Before Autonomy BeginsSign in
Zeroing Encoders and State Initialization: Preventing Drift from Becoming "Truth" in the StackSign in
Sensor Failure and Fallback: Degraded Modes That Preserve Safety When Calibration Is SuspectSign in

Part 19

Step 3 Sensor Modalities for Perception

Step 3 Sensor Modalities for PerceptionSign in
Cameras, Depth, Lidar-Like, Radar: Sensing Choice Determines What Is ObservableSign in
2D vs 3D Trade-Offs: Cost, Compute, Robustness, and Failure ModesSign in
Sensor Fusion (High-Level): Reducing Ambiguity While Introducing CouplingSign in

Part 20

Step 3 Localization Basics

Step 3 Localization BasicsSign in
Pose Estimation: What It Means to Know "Where You Are" in a Changing WorldSign in
Odometry and Drift: Why Dead Reckoning Always Decays and How to Plan for ItSign in
External References: Fiducials, Beacons, GNSS-Like Signals, and the Dependency Risks They IntroduceSign in

Part 21

Step 3 Mapping and Environment Representation

Step 3 Mapping and Environment RepresentationSign in
Occupancy Grids and Costmaps: Representing Free Space and Risk as Planning InputsSign in
3D Maps Conceptually: Point Clouds and Voxel Grids and Their Compute and Storage CostsSign in
Semantic Layers: Zones, Rooms, Objects and Why Meaning Helps Task Planning but Complicates CorrectnessSign in

Part 22

Step 3 SLAM (Simultaneous Localization and Mapping)

Step 3 SLAM (Simultaneous Localization and Mapping)Sign in
Joint Estimation Conceptually: Why Mapping and Localization Are Coupled ProblemsSign in
Loop Closure and Drift Correction: How Systems Repair Accumulated Error and What Can Go WrongSign in
Trade-Offs: Accuracy, Compute Load, Robustness, and the Operational Consequences of EachSign in

Part 23

Step 3 Perception Pipelines

Step 3 Perception PipelinesSign in
Raw to Representation: Filtering, Features, and State Estimation as an Evidence PipelineSign in
Latency vs Fidelity: When "Better Perception" Makes the Robot Worse by Missing DeadlinesSign in
Feeding Planning and Control: Defining Interfaces So Perception Is Usable, Testable, and ReplaceableSign in

Part 24

Step 4 Path Planning in Known Maps

Step 4 Path Planning in Known MapsSign in
Search in Grids and Roadmaps: Planning as Cost-Minimizing Route FindingSign in
Cost Functions: Length, Time, Safety Margins, and How Costs Encode Product PrioritiesSign in
Global vs Local Planners: Long-Horizon Optimality Versus Short-Horizon SafetySign in

Part 25

Step 4 Obstacle Avoidance and Local Planning

Step 4 Obstacle Avoidance and Local PlanningSign in
Reactive vs Planned Avoidance: Speed of Response Versus PredictabilitySign in
Dynamic Obstacles: Short-Horizon Planning Under Uncertainty and Sensing GapsSign in
Aggressiveness vs Safety: Tuning Local Planners as Risk ManagementSign in

Part 26

Step 4 Navigation Stack Architectures

Step 4 Navigation Stack ArchitecturesSign in
Pipeline Layers: Perception -> Localization -> Mapping -> Planning -> Control as a Composable StackSign in
Global vs Local Costmaps: Different Representations for Different Time HorizonsSign in
Recovery Behaviors: Stuck Detection, Replanning, and Bounded Failure HandlingSign in

Part 27

Step 4 Task and Behavior-Level Planning (Conceptual)

Step 4 Task and Behavior-Level Planning (Conceptual)Sign in
State Machines, Task Graphs, and Behavior TreesSign in
Sequencing Navigation and ManipulationSign in
Failure Handling and Replanning at the Behavior LevelSign in

Part 28

Step 4 Specialization: Manipulation vs Mobile Navigation

Step 4 Specialization: Manipulation vs Mobile NavigationSign in
Configuration-Space Planning for ArmsSign in
Planning in ClutterSign in
Different Constraints for Bases vs ArmsSign in

Part 29

Step 5 Hardware/Compute Stack for Robots

Step 5 Hardware/Compute Stack for RobotsSign in
Low-Level Controllers vs High-Level ComputeSign in
MCU, SBC, External ComputeSign in
Power Distribution and Compute ReliabilitySign in

Part 30

Step 5 Real-Time Constraints in Robotics

Step 5 Real-Time Constraints in RoboticsSign in
Hard vs Soft Real-TimeSign in
Scheduling Loops, Periods, Deadlines, and JitterSign in
Balancing Perception, Planning, and ControlSign in

Part 31

Step 5 Communication Middleware and Messaging

Step 5 Communication Middleware and MessagingSign in
Message Buses and Pub/Sub: Designing Internal Robot Communication as a Distributed SystemSign in
Topics, Services, Actions: Request/Response and Event Patterns for Robotics WorkflowsSign in
Bandwidth and Latency on the Robot Network: When Internal Networking Becomes the BottleneckSign in

Part 32

Step 5 Control Stack Architectures

Step 5 Control Stack ArchitecturesSign in
Stack of Stacks: Firmware, Mid-Level Control, High-Level Autonomy and Where Interfaces BelongSign in
Safety Loop Separation: Ensuring Safety-Critical Behaviors Are Not Coupled to Best-Effort AutonomySign in
Safe Software Upgrades: Updating Deployed Robots Without Destabilizing Control or Safety InvariantsSign in

Part 33

Step 5 Fault Detection, Watchdogs, and Recovery

Step 5 Fault Detection, Watchdogs, and RecoverySign in
Watchdogs and Heartbeats: Detecting Stalled Compute and Unresponsive SubsystemsSign in
Fault Trees and Graceful Degradation: Designing Degraded Modes That Preserve Safety and Partial UtilitySign in
Failsafe States and Safe-Stop: Choosing Stop Behaviors That Remain Safe Under Sensor or Compute UncertaintySign in

Part 34

Step 6 HRI Fundamentals

Step 6 HRI FundamentalsSign in
Human Roles: Operator, Supervisor, Co-Worker, Bystander and How Each Changes Interface ObligationsSign in
Trust, Predictability, Transparency: Designing Behavior People Can Safely InterpretSign in
Interaction Zones: Personal, Social, Public and Why Distance Is Part of the InterfaceSign in

Part 35

Step 6 Modes of Interaction

Step 6 Modes of InteractionSign in
Teleoperation, Shared Control, and Autonomy: Selecting Where Control Authority LivesSign in
Visual Interfaces: Dashboards, UIs, and AR Overlays as Supervision ToolsSign in
Physical Interaction: Hand-Guiding and Force-Limited Behaviors as Safety and UX DesignSign in

Part 36

Step 6 Safety Around Humans

Step 6 Safety Around HumansSign in
Speed and Separation Monitoring: Bounding Motion Risk with Sensing and PolicySign in
Collaborative Behaviors and Safeguards: What "Collaboration" Requires Beyond ProximitySign in
Signaling Intent: Lights, Sounds, and Motion Cues as Safety InterfacesSign in

Part 37

Step 6 Command and Configuration Interfaces

Step 6 Command and Configuration InterfacesSign in
Goal and Constraint Interfaces: Specifying Tasks Without Forcing Users Into Low-Level ControlSign in
Conflicting Commands and Priorities: Arbitration, Authority, and Safe Refusal BehaviorSign in
Operator Workflows: Simple, Robust Sequences for Routine Operations and Incident HandlingSign in

Part 38

Step 6 Explainability and Debuggability for Operators

Step 6 Explainability and Debuggability for OperatorsSign in
What Is It Doing and Why: Exposing Autonomy State in Ways Operators Can Act OnSign in
Logs and Visualizations: Introspection Surfaces That Support Field DiagnosisSign in
UX for Misbehavior: Designing Operator Tools for Containment, Recovery, and LearningSign in

Part 39

Step 7 Multi-Robot Coordination Basics

Step 7 Multi-Robot Coordination BasicsSign in
Centralized vs Decentralized Coordination: Control Authority and Failure-Domain Trade-OffsSign in
Shared Maps and Shared Queues: Consistency, Staleness, and What "Shared Truth" Means for a FleetSign in
Communication Topology and Reliability: Coordination Under Delay, Loss, and Partial ConnectivitySign in

Part 40

Step 7 Task Allocation and Fleet Management

Step 7 Task Allocation and Fleet ManagementSign in
Allocation Mechanisms: Auctions, Queues, Policies as Different Fairness and Optimality PosturesSign in
Balancing Load and Priorities: Travel Time, Urgency, and Robot Capability ConstraintsSign in
Fleet Dashboards and Controls: Operational Interfaces for Supervisors, Maintenance, and Incident ResponseSign in

Part 41

Step 7 Swarm-Inspired Behaviors (Conceptual)

Step 7 Swarm-Inspired Behaviors (Conceptual)Sign in
Local Rules to Emergence: Why Small Policies Can Produce Large-Scale BehaviorSign in
Formations, Flocking, Coverage: Pattern Families and Their Robustness Properties (High-Level)Sign in
Scalability and Failure: What Swarms Tolerate Well and What They AmplifySign in

Part 42

Step 7 Cloud and Edge Integration

Step 7 Cloud and Edge IntegrationSign in
Offloading Compute: Mapping, Global Planning, Analytics, and the Coupling Risks to ConnectivitySign in
Cloud-Backed Telemetry and Updates: Observability, Logs, and Fleet-Wide Change ManagementSign in
Online Learning and Model Distribution: Conceptual Capabilities and the Safety Risks They IntroduceSign in

Part 43

Step 7 Productizing Robotic Systems

Step 7 Productizing Robotic SystemsSign in
Prototype to Product: Industrial Design, Manufacturability, and the Operational Cost of Physical ChoicesSign in
Reliability, Lifecycle, Maintenance: Spares, Wear-Out, and Field Service as System RequirementsSign in
Regulatory and Deployment Context: Operating Environments, Approvals, and Constraints (High-Level)Sign in

Part 44

Step 7 Reference Architectures for Robotic Systems

Step 7 Reference Architectures for Robotic SystemsSign in
Case Architectures: Warehouse Robot, Delivery Robot, Manipulator Cell, Drone Fleet (Conceptual)Sign in
Mapping Steps to Product Maturity: What Changes When You Leave the Lab and Scale DeploymentsSign in
Case-Style Trade-Offs: Representative Boundary Decisions and Their ConsequencesSign in

Part 45

Control and Architecture Patterns

Control and Architecture PatternsSign in
Standard Control Architectures: Cascaded Loops and Hierarchical Control as Reusable MotifsSign in
Internal System Architecture Patterns: Tiered Control and Perception-Planning-Control PipelinesSign in
Structural Choices and Failure Domains: How Internal Decomposition Determines What Can Fail TogetherSign in

Part 46

Perception and Mapping Patterns

Perception and Mapping PatternsSign in
Navigation Pattern Families: Grid-Based Navigation, Visual-Inertial Localization, Laser-Based Mapping (Conceptual)Sign in
Hybrid and Layered Maps: Combining Representations to Balance Compute Cost and RobustnessSign in
Simplify vs Model Richly: Choosing the Minimum World Model That Supports Safe BehaviorSign in

Part 47

Safety, Reliability, and Validation Patterns

Safety, Reliability, and Validation PatternsSign in
Safety Envelopes and Virtual Fences: Bounding Behavior With Explicit ConstraintsSign in
Simulation, Real-World, Hardware-in-the-Loop: Test Strategies Across Increasing RealismSign in
Shadow Mode and Phased Rollouts: Validating Autonomy Changes Without Immediate Full-Risk ExposureSign in

Part 48

Design Checklists for New Robotic Systems

Design Checklists for New Robotic SystemsSign in
Mechanical and Kinematic Readiness: Geometry, Limits, and Calibration PrerequisitesSign in
Sensing, Perception, Planning, Control Readiness: Interfaces, Latencies, and Safety ConstraintsSign in
HRI and Fleet Readiness: Human Workflows, Operational Tooling, and Multi-Robot Coordination BoundariesSign in

Course overview