Robotics Simulation & Digital Twins Training in Houston, USA

This comprehensive training program equips participants with the essential knowledge and practical skills to leverage robotics simulation and digital twin technologies across various industries. Participants will explore the fundamentals of robot modeling, sensor simulation, and virtual commissioning, progressing to advanced topics such as physics-based simulation, real-time digital twins, and integration with control systems. The course emphasizes hands-on application using open-source and industry-relevant tools, enabling learners to create accurate digital replicas of robotic systems, simulate complex scenarios, and optimize performance before physical deployment.

By the end of the program, participants will be prepared to implement simulation-driven workflows that reduce development costs, minimize risks, and accelerate innovation in robotics and automation projects.

Foundations of Robotics Simulation

• Introduction to simulation in robotics
• Benefits and use cases across industries
• Overview of simulation tools and environments
• Setting up a simulation workspace

Hands-on exercises

Robot Modeling and Kinematics

• Representing robot geometry and kinematics
• Forward and inverse kinematics in simulation
• URDF and SDF formats for robot description
• Building a simple robot model

Hands-on exercises

Sensor Simulation and Perception

• Simulating cameras, depth sensors, and LiDAR
• Modeling sensor noise and imperfections
• Point cloud generation and processing
• Sensor fusion techniques in simulation

Hands-on exercises

Physics Simulation and Dynamics

• Physics engines and their characteristics
• Collision detection and response
• Contact modeling and friction
• Simulating actuators and dynamics

Hands-on exercises

Digital Twin Concepts and Architecture

• Defining digital twins and their components
• Data synchronization between physical and virtual
• Real-time communication protocols
• Cloud and edge architectures for digital twins

Hands-on exercises

Virtual Commissioning and Testing

• Virtual commissioning workflows
• Automated testing in simulation
• Scenario-based validation
• Integration with PLC and control systems

Hands-on exercises

ROS and Simulation Integration

• ROS architecture and simulation interfaces
• Using Gazebo and other ROS-compatible simulators
• Bridging simulation and ROS control
• Developing ROS nodes for simulation

Hands-on exercises

Advanced Simulation Techniques

• Multi-robot simulation and coordination
• Human-robot interaction simulation
• Machine learning integration for perception
• Domain randomization and transfer learning

Hands-on exercises

Performance Optimization and Validation

• Profiling simulation performance
• Optimizing models and scenes
• Validation metrics and benchmarks
• Ensuring fidelity and accuracy

Hands-on exercises

Deployment and Real-World Applications

• Deploying digital twins in production
• Case studies in manufacturing and logistics
• Maintenance and lifecycle management
• Future trends in simulation and digital twins

Hands-on exercises