• Module 10

      Energy-Efficient Robot Operations with FOSSBot

      Environmental Sustainability, Robotics & Physics

      Module Identity

      Title
      Energy-Efficient Robot Operations with FOSSBot
      Subject Areas
      Robotics Computer Science Technology Environmental Education
      Format
      Experiential and inquiry-based learning with FOSSBot2.0, visual block programming, collaborative teamwork (groups of 3-5), and gamification elements (e.g., "waste management patrol" challenge).
      Preparation Requirements
      Pre-synchronization of FOSSBot2.0 with Wi-Fi; measuring tools (tape/ruler), stopwatches, and worksheets.
      Estimated Duration
      90 minutes
      Age Range
      15-18 years old (Secondary school years 10 to 13)
      Keywords
      Energy Efficiency, Sustainability, FOSSBot, Block Programming, Sensors, Motor Power, Path Optimization, Algorithmic Thinking
      Summary

      This scenario bridges the gap between STEM learning and environmental sustainability by exploring the concept of energy efficiency through robotics. Students investigate how different components of the FOSSBot (such as motors versus sensors) consume power and how programming choices—like reducing idling or optimizing travel paths—can significantly impact energy consumption. Working in teams, learners conduct experiments to measure speed and energy use, eventually applying their findings to design "greener" robot behaviors. The module highlights that efficient technology use is a key factor in sustainable development, preparing students to tackle real-world energy challenges.

      Introduction

      In the quest for a sustainable future, understanding how machines consume energy is just as important as how they are built. This module invites students to look "under the hood" of the FOSSBot to discover that moving parts, particularly motors, are the primary energy consumers compared to passive sensors or LEDs.

      Through a series of five activities, students move from observation to active problem-solving. They begin by identifying energy-hungry components and proceed to measure how motor speed settings (power) relate to distance traveled and battery drain. They learn that moving at maximum speed or idling unnecessarily can waste significant energy—paralleling real-world examples like fuel efficiency in cars.

      The final challenge involves programming the robot to act as an energy-efficient "waste management patrol." Students must use sensors to detect obstacles and write intelligent code that shuts off motors when stopped and selects the most direct paths, thereby optimizing the robot's operation for minimal environmental impact.

      Prerequisite Knowledge

      • • Familiarity with a visual programming environment
      • • Ability to create and debug simple programs
      • • Understanding of loops and conditional statements

      Learning Outcomes

      By the end of this module, students will be able to:

      Conceptual Understanding

      • ✓ Understand the concept of energy efficiency and why reducing energy consumption is crucial for sustainability
      • ✓ Connect STEM learning to real-world challenges, promoting responsible energy use
      • ✓ Analyze how simple technological choices can contribute to energy saving

      Programming & Implementation

      • ✓ Program FOSSBot visually using loops and conditional structures
      • ✓ Use onboard sensors (ultrasonic) and motor settings to observe energy-related behavior
      • ✓ Implement code that stops motors when the robot is waiting to save power

      Engineering & Problem-Solving

      • ✓ Measure and interpret distance, time, and speed to analyze the relationship between motion and energy
      • ✓ Collaborate in teams to optimize robot programs for more energy-efficient operations
      • ✓ Evaluate path choices (shortest vs. longest) to minimize energy waste

      📐 Key Mathematical & Physics Concepts

      Speed Calculation:

      $$ Speed (v) = \frac{Distance (d)}{Time (t)} $$

      Students calculate speed (cm/s) at different motor power levels (e.g. 50% vs 100%).

      Energy Relationship:

      Energy Consumption ∝ Power × Time

      Note: Running motors at full power increases current draw. Optimizing the path reduces the total distance and time the motors need to run, thus saving energy.