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Humanoid Robot Electronics
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Humanoid Robot Electronics

Master every electronic subsystem inside a humanoid robot, from power distribution and actuator drives to embedded computing and functional safety. This course gives you the hands-on engineering knowledge to design, integrate, and commission real robot hardware. Whether you're building the next generation of humanoid platforms or maintaining deployed systems, you'll leave with skills the industry demands.

Dedika for students

What your team will master:

You will learn how to design and analyze power systems, motor drive circuits, sensor front-ends, and embedded compute hardware for humanoid robots. The course covers PCB design, EMC compliance, wiring harness documentation, and functional safety engineering. You will work through battery management, DC-DC conversion, field-oriented motor control, and real-time communication buses. Sensor interfacing topics include encoders, IMUs, cameras, and LiDAR. You will also apply structured integration and commissioning procedures to bring a complete robot platform online.

How your team learns in practice Humanoid Robot Electronics

How your team practices Humanoid Robot Electronics

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ActemiumFR
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CDHCN

Course Content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Humanoid Robot Electronics

  • Lesson 1 • Circuit Diagram Reading and Standards

    Teaches schematic symbols, reference designators, and wiring diagram conventions used in robotics. Enables accurate interpretation of manufacturer documentation.

  • Lesson 2 • Basic Measurement and Test Equipment

    Introduces multimeters, oscilloscopes, and logic analyzers for robot electronics diagnostics. Connects measurement skills to fault-finding in later chapters.

  • Lesson 3 • Electrical Fundamentals Review

    Covers voltage, current, resistance, and power relationships essential for robot electronics. Establishes the quantitative baseline used throughout the course.

  • Lesson 4 • Humanoid Robot Architecture Overview

    Maps the major electronic subsystems of a humanoid robot and their interdependencies. Provides context for every subsequent technical topic.

  • Lesson 5 • Electronic Components Identification

    Introduces passive and active components found in robot circuits. Students read datasheets and match components to functional roles.

Chapter 2See details

Power Systems for Humanoid Robots

  • Lesson 1 • Power Distribution Architecture

    Designs multi-rail distribution networks with fusing, ORing, and hot-swap control. Ensures each subsystem receives clean, protected power.

  • Lesson 2 • Battery Technologies and Selection

    Compares lithium-ion, lithium-polymer, and solid-state chemistries for humanoid applications. Guides capacity and discharge-rate selection based on load analysis.

  • Lesson 3 • DC-DC Conversion and Regulation

    Covers buck, boost, and buck-boost converter topologies used to supply regulated rails. Students calculate component values and evaluate efficiency trade-offs.

  • Lesson 4 • Battery Management Systems

    Explains cell balancing, state-of-charge estimation, and protection circuits in BMS design. Directly supports safe, long-life battery operation in the robot.

  • Lesson 5 • Power Integrity and Noise Filtering

    Addresses decoupling, bulk capacitance, and EMI filtering to maintain signal integrity. Prepares students for PCB layout decisions in later chapters.

Chapter 3See details

Actuator Drive Electronics

  • Lesson 1 • Field-Oriented Control Electronics

    Covers current sensing, Clarke-Park transforms, and PWM generation for FOC of BLDC motors. Links hardware design to closed-loop torque control performance.

  • Lesson 2 • H-Bridge and Gate Driver Circuits

    Explains H-bridge topology, bootstrap gate drivers, and dead-time control for motor drives. Students design safe switching circuits avoiding shoot-through faults.

  • Lesson 3 • Motor Types in Humanoid Robots

    Surveys brushed DC, brushless DC, stepper, and series-elastic actuator technologies. Establishes selection criteria linking motor type to joint requirements.

  • Lesson 4 • Servo Drive Interfaces and Protocols

    Examines RS-485, CAN, and EtherCAT interfaces used to command smart servo modules. Enables integration of commercial servo drives into robot joint networks.

  • Lesson 5 • Thermal Management of Drive Electronics

    Quantifies power dissipation in MOSFETs and drivers, then selects heatsinks and cooling. Prevents thermal shutdown during sustained high-torque operation.

Chapter 4See details

Sensing and Perception Electronics

  • Lesson 1 • Proprioceptive Sensor Technologies

    Covers encoders, IMUs, torque sensors, and force-torque wrists used for body-state estimation. Establishes the sensor layer that feeds motion control algorithms.

  • Lesson 2 • Exteroceptive Sensor Interfaces

    Addresses cameras, LiDAR, depth sensors, and microphone arrays for environmental perception. Students wire and configure each sensor type to a processing board.

  • Lesson 3 • Analog Signal Conditioning

    Designs amplifier, filter, and reference circuits that prepare analog sensor outputs for ADC conversion. Directly reduces noise and offset errors in sensor data.

  • Lesson 4 • Analog-to-Digital Conversion

    Explains ADC architectures, resolution, sampling rate, and input multiplexing for robot sensors. Students match ADC specifications to sensor bandwidth requirements.

  • Lesson 5 • Sensor Fusion Hardware Considerations

    Examines timing synchronization, shared buses, and hardware timestamping for multi-sensor fusion. Prepares the hardware layer for software fusion algorithms.

Chapter 5See details

Embedded Computing and Control Electronics

  • Lesson 1 • Real-Time Communication Buses

    Designs CAN FD, EtherCAT, and UART networks linking compute nodes to actuator and sensor boards. Ensures deterministic latency across the robot's electronic network.

  • Lesson 2 • Hardware Abstraction and Boot Firmware

    Introduces bootloaders, hardware abstraction layers, and firmware update mechanisms for robot compute boards. Bridges hardware design to software integration tasks.

  • Lesson 3 • Microcontroller Selection and Configuration

    Compares ARM Cortex-M, RISC-V, and DSP cores for joint-level control tasks. Students evaluate clock speed, peripherals, and memory against control loop requirements.

  • Lesson 4 • FPGA in Robot Control Loops

    Explains FPGA use for deterministic PWM generation, encoder counting, and custom peripherals. Students implement simple logic blocks and connect them to the main processor.

  • Lesson 5 • System-on-Chip Integration

    Covers heterogeneous SoC platforms combining application processors with real-time cores. Addresses power-on sequencing, boot media, and high-speed memory interfaces.

Chapter 6See details

PCB Design for Humanoid Robot Electronics

  • Lesson 1 • PCB Stack-Up and Layer Planning

    Selects layer counts, dielectric materials, and copper weights for mixed-signal robot boards. Directly affects impedance control and EMI performance.

  • Lesson 2 • Schematic Capture Best Practices

    Establishes hierarchical schematic organization, symbol libraries, and net naming for complex robot boards. Reduces errors before layout begins.

  • Lesson 3 • High-Speed Signal Routing

    Applies length matching, differential pair routing, and via stitching for USB, Ethernet, and MIPI signals. Prevents signal integrity failures in high-speed robot links.

  • Lesson 4 • Design for Manufacture and Test

    Covers panelization, fiducial placement, test point strategy, and DFM rule compliance. Ensures boards are producible and testable at volume.

  • Lesson 5 • Power and Ground Plane Design

    Designs split planes, copper pours, and via arrays to minimize impedance and thermal resistance. Supports the power integrity work from Chapter 2.

Chapter 7See details

Functional Safety and Fault Tolerance

  • Lesson 1 • Safety Monitoring and Watchdog Circuits

    Implements hardware watchdogs, voltage supervisors, and current monitors that detect and respond to faults. Ensures the robot enters a safe state upon anomaly detection.

  • Lesson 2 • Hazard Analysis and Risk Assessment

    Introduces FMEA, FTA, and HAZOP methods applied to robot electronic subsystems. Produces a risk register that drives subsequent safety design decisions.

  • Lesson 3 • Redundant and Diverse Circuit Architectures

    Designs dual-channel, voting, and diverse redundancy circuits for safety-critical robot functions. Demonstrates how redundancy reduces probability of dangerous failure.

  • Lesson 4 • Emergency Stop and Safe Torque Off

    Designs hardwired e-stop chains and STO circuits that cut actuator power without software intervention. Meets the most critical safety requirement in human-robot collaboration.

  • Lesson 5 • Safety Integrity Level Concepts

    Explains SIL and ASIL classification, diagnostic coverage, and safe failure fraction for robot circuits. Links risk assessment outputs to hardware design targets.

Chapter 8See details

System Integration, Testing, and Commissioning

  • Lesson 1 • Integration Planning and Sequencing

    Develops a bottom-up integration plan that verifies each subsystem before combining them. Reduces risk of cascading failures during full-system bring-up.

  • Lesson 2 • Electrical Verification and Continuity Testing

    Applies continuity, insulation resistance, and hi-pot tests to verify wiring harnesses and PCBs. Catches assembly defects before energizing the full robot.

  • Lesson 3 • Functional Bring-Up Procedures

    Guides power-on sequencing, firmware loading, and initial actuator commissioning for each subsystem. Builds confidence in hardware correctness before motion testing.

  • Lesson 4 • System-Level Performance Testing

    Executes load tests, thermal soak tests, and communication stress tests on the integrated robot. Validates that all subsystems meet their performance specifications together.

  • Lesson 5 • Fault Diagnosis and Field Troubleshooting

    Applies systematic fault isolation using oscilloscopes, bus analyzers, and thermal cameras. Develops the diagnostic mindset needed for field maintenance of deployed robots.

Certification

Your valid completion certificate

This course is for you:

  • Electrical engineer: ready to specialize in humanoid robot hardware development.

  • Robotics technician: seeking deeper electronics knowledge to advance beyond maintenance roles.

  • Mechatronics graduate: bridging academic theory to real humanoid platform engineering work.

  • Embedded systems developer: expanding expertise into actuator drive and sensor front-end design.

  • Career changer from industrial automation: applying existing skills to humanoid robot electronics.

  • Hardware hobbyist: serious about building robot platforms with professional-grade electronic design.

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