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Autonomous Mobile Robots Training

Live Online & Classroom Enterprise Training

Learn the fundamentals, architecture, and applications of Autonomous Mobile Robots (AMRs) — from navigation and perception to control systems and real-world deployment in industrial and research environments.

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What is Autonomous Mobile Robots Course about?

The Autonomous Mobile Robots course provides a comprehensive understanding of how intelligent robots operate, navigate, and interact autonomously within dynamic environments. Learners will explore core concepts such as localization, mapping, motion planning, and sensor fusion, alongside key technologies like LIDAR, SLAM (Simultaneous Localization and Mapping), and AI-based perception. The course combines theoretical foundations with hands-on insights into robot software frameworks such as ROS (Robot Operating System) and their applications in logistics, manufacturing, and autonomous vehicles.

What are the objectives of Autonomous Mobile Robots Course ?

  • Understand the architecture and components of Autonomous Mobile Robots.
  • Learn about sensors, perception, and control algorithms used in AMRs.
  • Gain knowledge of navigation, path planning, and SLAM techniques.
  • Explore ROS-based implementation and integration of AMR systems.
  • Apply AMR concepts to industrial and real-world autonomous operations.

Who is Autonomous Mobile Robots Course for?

  • Robotics Engineers and Developers.
  • Automation and Mechatronics Professionals.
  • AI and Machine Learning Practitioners.
  • Research Scholars in Robotics and Autonomous Systems.
  • Students or professionals entering the field of industrial robotics.

What are the prerequisites for Autonomous Mobile Robots Course?

Prerequisites:
  • Basic knowledge of robotics and automation systems.
  • Understanding of programming languages (Python, C++, or MATLAB).
  • Familiarity with control systems and kinematics concepts.
  • Fundamental knowledge of sensors and embedded systems.
  • Interest in AI, machine learning, or computer vision.
Learning Path:
  • Introduction to Autonomous Mobile Robots and Applications
  • Sensors, Perception, and Localization Techniques
  • Path Planning, Control Systems, and SLAM
  • ROS Framework and AMR Software Implementation
  • Industry Use Cases, Simulation, and Deployment
Related Courses:
  • Mobile Robotics Fundamentals
  • Robot Operating System (ROS) Essentials
  • AI for Robotics and Automation
  • Computer Vision for Intelligent Systems

Available Training Modes

Live Online Training

5 Days

Course Outline Expand All

Expand All

  • Overview of mobile robots and their applications in various industries.
  • Core concepts of autonomy and mobility in robots.
  • Historical development and future trends in mobile robotics
  • Types of Locomotion
  • Wheeled Locomotion
  • Legged Locomotion
  • Mechanisms and Actuation
  • Overview of actuators (electric, hydraulic, and pneumatic).
  • Design considerations for efficient locomotion.
  • Kinematic Models of Mobile Robots
  • Wheel-Terrain Interaction
  • Holonomic and Non-Holonomic Constraints
  • Motion Control
  • Case studies of kinematic models in real-world robots
  • Introduction to Robot Perception
  • Proximity Sensors
  • Data Acquisition
  • Visual Sensors
  • Data Acquisition
  • Laser Rangefinders and LiDAR
  • IMU (Inertial Measurement Units)
  • Sensor Fusion
  • Mapping the Environment
  • Advanced Perception with AI
  • Point Cloud Processing
  • Semantic Understanding
  • Real-Time Perception
  • Probabilistic Robotics
  • Bayesian Filters
  • Global vs. Local Localization
  • Landmark-Based Localization
  • Advanced Localization Techniques
  • Monte Carlo Localization (MCL)
  • Localization in Dynamic Environments
  • Sensor Fusion in Localization
  • Case studies of localization systems in commercial autonomous robots
  • Mathematical Foundations
  • Sensor-Based SLAM
  • Feature-Based SLAM
  • Graph-Based SLAM
  • Grid-Based SLAM
  • Visual SLAM
  • Real-Time SLAM
  • Emerging Trends
  • Graph-Based Path Planning
  • Sampling-Based Path Planning
  • Path Smoothing and Optimization
  • Dynamic Path Planning
  • Multi-Robot Path Planning
  • Behavior-Based Planning
  • Real-Time Path Planning
  • Path Optimization
  • Applications and Tools

Who is the instructor for this training?

The trainer for this Autonomous Mobile Robots Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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