BeeBotix Learning Hub

Interactive Robotics & Engineering Education

Master robotics concepts through hands-on interactive simulations and visual learning experiences. From basic kinematics to advanced control systems, explore the fascinating world of robotics.

Welcome to Interactive Learning

Our comprehensive robotics curriculum is designed to take you from fundamental concepts to advanced applications. Each module combines theoretical knowledge with practical, interactive demonstrations that make complex topics easy to understand.

Click on any available chapter below to begin your journey into the exciting world of robotics and automation.

Robotics Fundamentals Curriculum

Interactive modules for comprehensive robotics education

Chapter 1

Robot Kinematics & Motion

Learn forward and inverse kinematics through interactive 3-joint robotic arm simulations. Understand how joint angles translate to end-effector positions in both ground and ceiling mounted configurations.

  • Forward Kinematics Calculations
  • Joint Angle Control (0-180°)
  • Real-time Animation Sequences
  • Ground vs Ceiling Mount Configurations
  • End-Effector Path Visualization
✓ Available Now
Chapter 2

Robot Dynamics & Forces

Explore the relationship between forces, torques, and motion in robotic systems. Understand how mass, inertia, and external forces affect robot movement and control.

  • Newton-Euler Dynamics
  • Torque and Force Analysis
  • Mass and Inertia Effects
  • Gravity Compensation
  • Dynamic Simulation
🚧 Coming Soon
Chapter 3

Control Systems & Feedback

Master PID control, feedback systems, and advanced control algorithms for precise robot motion. Interactive controllers with real-time parameter tuning and response visualization.

  • PID Controller Design
  • Feedback Loop Analysis
  • System Stability
  • Control Parameter Tuning
  • Advanced Control Strategies
🚧 Coming Soon
Chapter 4

Path Planning & Navigation

Learn trajectory generation, obstacle avoidance, and optimal path planning algorithms. Visualize different planning strategies in various environments and scenarios.

  • Trajectory Generation
  • Obstacle Avoidance
  • A* and RRT Algorithms
  • Motion Constraints
  • Real-time Path Optimization
🚧 Coming Soon
Chapter 5

Sensors & Perception

Understand various sensor technologies used in robotics including encoders, IMUs, cameras, and LIDAR. Learn sensor fusion and perception algorithms for environmental understanding.

  • Encoder and Position Sensing
  • IMU and Orientation
  • Vision and Image Processing
  • LIDAR and Distance Sensing
  • Sensor Fusion Techniques
🚧 Coming Soon
Chapter 6

AI & Machine Learning

Explore how artificial intelligence and machine learning enhance robotic capabilities. From reinforcement learning to neural networks for robot control and decision making.

  • Reinforcement Learning
  • Neural Network Control
  • Computer Vision
  • Autonomous Decision Making
  • Learning from Demonstration
🚧 Coming Soon