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Robotics

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The Wonderful World of Robotics

The Wonderful World of Robotics

Exploring how intelligent machines are transforming our world through automation, artificial intelligence, and innovative engineering.

What is Robotics?

Robotics is an interdisciplinary field that combines computer science, engineering, and technology to design, construct, operate, and use robots. These intelligent machines can perform tasks autonomously or semi-autonomously, often in environments that are hazardous or impractical for humans.

Industrial Robots

Precision machines used in manufacturing for tasks like welding, assembly, and material handling.

Service Robots

Robots that assist humans in daily tasks, from vacuuming homes to performing surgery.

Autonomous Vehicles

Self-driving cars and drones that navigate using sensors and AI algorithms.

Robotics Through History

1954

George Devol invents the first programmable industrial robot, Unimate.

1969

Stanford Arm developed - first electrically powered, computer-controlled robot arm.

1997

NASA's Pathfinder lands on Mars with the Sojourner rover, the first wheeled robot on another planet.

2020

Boston Dynamics' Spot robot goes on sale to the public, marking a new era in commercial robotics.

How Robots Work

Modern robots typically follow a sense-think-act cycle:

  1. Sensing: Using cameras, LiDAR, infrared, or other sensors to perceive the environment
  2. Processing: Computers analyze sensor data using algorithms and AI
  3. Acting: Motors and actuators perform physical actions based on decisions
  4. Feedback: Sensors verify actions and the cycle repeats

Future of Robotics

The robotics field is advancing rapidly with exciting developments:

  • Soft robotics using flexible materials
  • Swarm robotics with coordinated groups of simple robots
  • Brain-computer interfaces for direct neural control
  • Self-replicating and self-repairing robots
  • Advanced human-robot collaboration (cobots)

© 2023 Robotics Education Portal | Made with for future innovators

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Autonomous Robotics Leveraging Sun Movement (Solar Tracking & Navigation)

Autonomous robots that use the sun’s movement (solar position) rely on solar tracking, energy harvesting, and sun-based navigation to operate efficiently, especially in outdoor environments like agriculture, space exploration, and solar farms.


1. Solar-Powered Autonomous Robots

These robots use photovoltaic (PV) panels to generate energy from sunlight, allowing them to operate for extended periods without external charging.

Key Components:

  • Solar Panels → Convert sunlight into electricity.

  • Battery Storage → Stores excess energy for low-light conditions.

  • Maximum Power Point Tracking (MPPT) → Optimizes energy harvesting.

Applications:

  • Agricultural robots (e.g., solar-powered weeding bots).

  • Mars rovers (e.g., NASA’s Perseverance Rover).

  • Ocean drones (sun-powered for long missions).


2. Solar Tracking for Optimal Energy Harvesting

To maximize efficiency, robots use sun-tracking mechanisms to keep solar panels aligned with the sun.

Methods:

  1. Passive Tracking (Mechanical, no sensors)

    • Uses thermal expansion or shape-memory alloys to tilt panels.

  2. Active Tracking (Sensor-based)

    • Light-dependent resistors (LDRs) detect sunlight direction.

    • Computer vision (cameras + AI) predicts sun position.

    • GPS + Time-based algorithms (calculates sun’s position).

Example:

  • Solar farm cleaning robots adjust panels to follow the sun.


3. Sun-Based Navigation (Solar Compass)

Some robots use the sun’s position for orientation and navigation, similar to how ancient sailors did.

How It Works?

  • Sun sensors (e.g., digital sun sensors in satellites) detect the sun’s angle.

  • Algorithm calculates heading based on time, date, and GPS location.

  • Used in autonomous drones, Mars rovers, and solar-powered boats.

Example:

  • Solar Impulse 2 (Sun-powered aircraft that flew around the world).


4. Challenges & Future Improvements

Energy Efficiency → Better solar cells & battery tech.
AI & Machine Learning → Predicting cloud cover & optimizing paths.
Hybrid Systems → Combining solar + wind/kinetic energy.


DIY Solar-Powered Robot Project Idea

Build a Sun-Tracking Robot:

  1. Use Arduino/Raspberry Pi + LDR sensors.

  2. Attach servo motors to adjust solar panel angle.

  3. Program it to follow the brightest light source (sun).