computer robotics

Niveaux scolaires: Grade 5

Système éducatif: National English

robotics and details

#robotics

1. Classify core robot types and components, interpret coordinate frames, and apply laboratory safety and ethical practices in introductory robotics contexts.

Objectifs d'apprentissage:

1. Define standard robotics terminology (e.g., degree of freedom, actuator, sensor, end effector, mobile base) and use terms correctly in written and oral explanations.

2. Classify at least three robot architectures (wheeled mobile, legged, manipulator) and justify component choices for a given application scenario.

3. Diagram coordinate frames for a simple robot and compute 2D/3D frame transforms using homogeneous transformation matrices for at least two example poses.

4. Apply lab safety procedures (PPE, power isolation, current limiting, emergency stop) during build and test activities without violations across three lab sessions.

5. Summarize ethical and societal considerations (risk assessment, privacy with cameras, human–robot interaction) and propose at least two risk mitigations for a given use case.

Modules

1. Robotics Fundamentals: Taxonomy, Terminology, and Architectures

1. 1. Robot Taxonomy and Application Mapping

Résultats d'apprentissage:

1. Classify wheeled, legged, and manipulator robots by mobility, DOF, and workspace and justify selections for at least three application scenarios.

2. Differentiate serial, parallel, and mobile robot architectures and map architecture advantages to use cases (e.g., pick-and-place vs. warehouse navigation).

3. Identify and label core subsystems (power, computation, actuation, sensing, chassis) on example platforms and relate each to performance constraints.

4. Compare payload, reach, precision, and speed specifications and select a suitable platform for a defined task with quantitative rationale.

5. Evaluate trade-offs between cost, complexity, and maintainability for student-grade vs. industrial robots using a decision matrix.

6. Document application requirements and translate them into robot subsystem specifications (e.g., torque, battery capacity, sensor range).

1. 2. Standard Terminology and Component Identification

computer robotics

Niveaux scolaires: Grade 5

Système éducatif: National English

robotics and details

#robotics

1. Classify core robot types and components, interpret coordinate frames, and apply laboratory safety and ethical practices in introductory robotics contexts.

Objectifs d'apprentissage:

1. Define standard robotics terminology (e.g., degree of freedom, actuator, sensor, end effector, mobile base) and use terms correctly in written and oral explanations.

2. Classify at least three robot architectures (wheeled mobile, legged, manipulator) and justify component choices for a given application scenario.

3. Diagram coordinate frames for a simple robot and compute 2D/3D frame transforms using homogeneous transformation matrices for at least two example poses.

4. Apply lab safety procedures (PPE, power isolation, current limiting, emergency stop) during build and test activities without violations across three lab sessions.

5. Summarize ethical and societal considerations (risk assessment, privacy with cameras, human–robot interaction) and propose at least two risk mitigations for a given use case.

Modules

1. Robotics Fundamentals: Taxonomy, Terminology, and Architectures

1. 1. Robot Taxonomy and Application Mapping

Résultats d'apprentissage:

1. Classify wheeled, legged, and manipulator robots by mobility, DOF, and workspace and justify selections for at least three application scenarios.

2. Differentiate serial, parallel, and mobile robot architectures and map architecture advantages to use cases (e.g., pick-and-place vs. warehouse navigation).

3. Identify and label core subsystems (power, computation, actuation, sensing, chassis) on example platforms and relate each to performance constraints.

4. Compare payload, reach, precision, and speed specifications and select a suitable platform for a defined task with quantitative rationale.

5. Evaluate trade-offs between cost, complexity, and maintainability for student-grade vs. industrial robots using a decision matrix.

6. Document application requirements and translate them into robot subsystem specifications (e.g., torque, battery capacity, sensor range).

computer robotics

Niveaux scolaires: Grade 5

Système éducatif: National English

1. Classify core robot types and components, interpret coordinate frames, and apply laboratory safety and ethical practices in introductory robotics contexts.

Objectifs d'apprentissage:

Modules

1. Robotics Fundamentals: Taxonomy, Terminology, and Architectures

1. 1. Robot Taxonomy and Application Mapping

Résultats d'apprentissage:

1. 2. Standard Terminology and Component Identification

computer robotics

Niveaux scolaires: Grade 5

Système éducatif: National English

1. Classify core robot types and components, interpret coordinate frames, and apply laboratory safety and ethical practices in introductory robotics contexts.

Objectifs d'apprentissage:

Modules

1. Robotics Fundamentals: Taxonomy, Terminology, and Architectures

1. 1. Robot Taxonomy and Application Mapping

Résultats d'apprentissage:

1. 2. Standard Terminology and Component Identification

Résultats d'apprentissage:

2. Coordinate Frames and Homogeneous Transformations

2. 1. Frames, Rotations, and Transform Fundamentals

Résultats d'apprentissage:

2. 2. Applied Frame Transforms and Pose Computation

Résultats d'apprentissage:

3. Laboratory Safety, Ethics, and Risk Management

3. 1. Safety Protocols and Laboratory Practice

Résultats d'apprentissage:

3. 2. Ethics, Privacy, and Human–Robot Interaction

Résultats d'apprentissage:

2. Assemble and program a microcontroller-based mobile robot using Arduino or Raspberry Pi Pico, interfacing motors, encoders, and basic sensors with C/C++ or MicroPython.

Objectifs d'apprentissage:

Modules

1. Toolchains, Microcontroller I/O, and Serial Telemetry

1. 1. Environment Setup and Firmware Deployment

Résultats d'apprentissage:

1. 2. GPIO, PWM, and Timing Basics

Résultats d'apprentissage:

2. Motor Drivers, Encoders, and Power Integration

2. 1. H-Bridge Motor Driver Wiring and Validation

Résultats d'apprentissage:

2. 2. Encoder Interfacing and Interrupts

Résultats d'apprentissage:

3. Sensors, Telemetry, and Safeguards

3. 1. Ultrasonic Sensor Polling and Data Logging

Résultats d'apprentissage:

3. 2. Electrical Safeguards and Emergency Stop

Résultats d'apprentissage:

3. Implement differential-drive kinematics and closed-loop motion control using encoder feedback and PID tuning to meet specified tracking performance.

Objectifs d'apprentissage:

Modules

1. Differential-Drive Kinematics and Odometry

1. 1. Forward and Inverse Kinematics Derivation

Résultats d'apprentissage:

1. 2. Odometry Implementation and Pose Estimation

Résultats d'apprentissage:

2. Discrete-Time PID Velocity Control and Tuning

2. 1. PID Implementation for Wheel Velocity

Résultats d'apprentissage:

2. 2. Closed-Loop Tracking and Disturbance Rejection

Résultats d'apprentissage:

3. Performance Analysis and Comparative Studies

3. 1. Open-Loop vs Closed-Loop Tracking

Résultats d'apprentissage:

4. Integrate perception pipelines with sensor fusion for robust state estimation and obstacle detection using IMU, range sensors, and OpenCV-based vision.

Objectifs d'apprentissage:

Modules

1. IMU Calibration and Frame Alignment

1. 1. IMU Bias/Scale Calibration and Drift Verification

Résultats d'apprentissage:

1. 2. Sensor Frame Alignment and Time Synchronization

Résultats d'apprentissage:

2. Sensor Fusion for Heading and State Estimation

2. 1. Complementary and Kalman Filter Design

Résultats d'apprentissage:

2. 2. Performance Quantification and Comparison

Résultats d'apprentissage:

3. Range Sensing and Obstacle Detection

3. 1. Ultrasonic/LiDAR Processing for 0.2–2.0 m Ranges