문의를 보내주셔서 감사합니다! 팀원이 곧 연락드리겠습니다.
예약을 보내주셔서 감사합니다! 저희 팀 멤버 중 한 분이 곧 연락드리겠습니다.
코스 개요
Introduction to Rapid Prototyping for Robotics
- Principles of rapid prototyping and iterative design
- Overview of the ROS 2 ecosystem
- How Docker enables agility and reproducibility in robotics
Setting Up the Development Environment
- Installing ROS 2 and Docker on local or cloud systems
- Configuring Docker containers for robotics development
- Using VS Code and extensions for efficient workflows
ROS 2 Essentials for Prototyping
- ROS 2 packages, nodes, topics, and services
- Creating and building ROS 2 workspaces
- Simulating robots in Gazebo
Docker for Robotics Development
- Containerization fundamentals for ROS applications
- Building custom Docker images for robotics projects
- Managing dependencies and configurations across systems
Integrating and Testing Robotic Prototypes
- Connecting multiple ROS 2 nodes within Docker networks
- Testing perception and control modules in simulation
- Debugging and optimizing containerized applications
Collaborative and Scalable Robotics Development
- Version control and sharing ROS-Docker projects
- Continuous integration pipelines for robotics
- Deploying and scaling prototypes across multiple devices
Hands-on Project: Containerized ROS 2 Prototype
- Designing and implementing a robot simulation pipeline
- Containerizing the full workflow with ROS 2 and Gazebo
- Testing and deploying the working prototype
Summary and Next Steps
요건
- Basic knowledge of Python programming
- Familiarity with Linux command-line tools
- Understanding of fundamental robotics concepts (sensors, actuators, control)
Audience
- Developers and robotics enthusiasts building prototypes quickly
- Startup engineers designing proof-of-concept robotic applications
- Makers and hobbyists exploring ROS 2 with modern deployment tools
21 시간
회원 평가 (1)
Robotics 미래를 위한 AI에 대한 지식과 활용.
Ryle - PHILIPPINE MILITARY ACADEMY
코스 - Artificial Intelligence (AI) for Robotics
기계 번역됨
