Design, Simulate, and Verify Robotics and Autonomous Systems with MATLAB and Simulink Training by Tonex
This comprehensive training course, “Design, Simulate, and Verify Robotics and Autonomous Systems with MATLAB and Simulink,” offered by Tonex, provides participants with the essential knowledge and practical skills required to excel in the field of robotics and autonomous systems development. Leveraging the powerful MATLAB and Simulink platforms, this course empowers professionals to create, test, and validate complex robotic and autonomous systems, preparing them for the challenges of this dynamic industry.
By the end of this course, participants will possess the skills and knowledge needed to excel in the design, simulation, and verification of robotics and autonomous systems using MATLAB and Simulink, making them valuable assets in the rapidly evolving field of robotics.
Learning Objectives:
Upon completing this course, participants will:
- Understand the fundamentals of robotics and autonomous systems design.
- Master MATLAB and Simulink tools for system modeling and simulation.
- Develop expertise in sensor integration and data processing for autonomous systems.
- Learn techniques for real-time control and navigation of robotic platforms.
- Acquire skills in verification and validation of robotic and autonomous systems.
- Gain hands-on experience with industry-relevant projects and case studies.
Audience:
This course is designed for:
- Robotics Engineers and Developers
- Autonomous Systems Designers
- Electrical and Mechanical Engineers
- Software Developers in Robotics
- Researchers and Innovators in Automation
- Professionals transitioning into the robotics and autonomous systems domain
Course Outline:
Introduction to Robotics and Autonomous Systems
- Basics of robotics and autonomous systems
- Key applications and industry trends
- Ethical and safety considerations in robotics
MATLAB and Simulink Fundamentals
- Introduction to MATLAB and Simulink
- MATLAB scripting and programming
- Simulink modeling and simulation
Sensors and Perception for Autonomous Systems
- Types of sensors and their applications
- Data acquisition and processing
- Sensor fusion techniques
Control and Navigation for Robotics
- Control systems for robots
- Path planning and trajectory generation
- Simulated and real-world navigation challenges
Verification and Validation of Autonomous Systems
- Testing and validation methodologies
- Safety and reliability in robotics
- Regulatory compliance and standards
Hands-on Projects and Case Studies
- Building a robotic system using MATLAB and Simulink
- Implementing sensor integration and control
- Real-time testing and validation exercises
- Case studies of real-world robotics and autonomous systems