Gazebo MCP Server

# Phase 7: Demonstrations - Implementation Plan **Status:** In Progress **Started:** 2025-11-20 **Estimated Duration:** 1-2 days (accelerated from 2-3 weeks) --- ## 🎯 Objective Create comprehensive demonstration scenarios that showcase the full capabilities of the ROS2 Gazebo MCP Server, making it easy for users to understand and adopt the system. --- ## 📋 Scope ### 1. Advanced Demonstration Scenarios (High Priority) - **Complete Workflow Demos** - End-to-end scenarios showing real use cases - **Feature Showcases** - Individual demonstrations of key capabilities - **Performance Benchmarks** - Demonstrations of system performance - **Integration Examples** - Show integration with other tools/systems ### 2. Interactive Demo Scripts (High Priority) - **CLI Interactive Demos** - Command-line demonstrations users can run - **Jupyter Notebooks** - Interactive notebooks for exploration - **Automated Demo Runner** - Script to run all demos automatically ### 3. Tutorial Documentation (Medium Priority) - **Getting Started Tutorial** - Step-by-step first use - **Advanced Usage Guide** - Complex scenarios and best practices - **Troubleshooting Scenarios** - Common issues and solutions - **Video Scripts** - Written scripts for future video tutorials --- ## 🎬 Demonstration Scenarios ### Demo 1: Complete Robot Navigation Setup **Goal:** Demonstrate full workflow from world creation to robot navigation **Steps:** 1. Generate obstacle course world 2. Spawn TurtleBot3 robot 3. Configure sensors (camera, lidar) 4. Set up navigation goals 5. Monitor robot state during navigation 6. Collect performance metrics **Files:** - `examples/demos/01_complete_navigation_demo.py` - `examples/demos/worlds/navigation_course.sdf` --- ### Demo 2: Multi-Robot Coordination **Goal:** Show coordination of multiple robots in shared environment **Steps:** 1. Create warehouse-style world 2. Spawn 3 TurtleBot3 robots 3. Assign different navigation tasks 4. Monitor collision avoidance 5. Track completion metrics **Files:** - `examples/demos/02_multi_robot_demo.py` - `examples/demos/worlds/warehouse.sdf` --- ### Demo 3: Dynamic World Manipulation **Goal:** Demonstrate real-time world changes and robot adaptation **Steps:** 1. Create initial world 2. Spawn robot 3. Dynamically add/remove obstacles 4. Change lighting conditions 5. Modify physics properties 6. Show robot adaptation **Files:** - `examples/demos/03_dynamic_world_demo.py` --- ### Demo 4: Advanced Sensor Fusion **Goal:** Show comprehensive sensor data collection and processing **Steps:** 1. Spawn robot with multiple sensors 2. Collect camera, lidar, IMU data simultaneously 3. Demonstrate sensor synchronization 4. Show data visualization 5. Performance metrics **Files:** - `examples/demos/04_sensor_fusion_demo.py` --- ### Demo 5: Performance Benchmarking **Goal:** Demonstrate system performance under various loads **Steps:** 1. Spawn increasing numbers of models 2. Measure MCP response times 3. Test concurrent operations 4. Monitor resource usage 5. Generate performance report **Files:** - `examples/demos/05_performance_benchmark.py` --- ### Demo 6: World Generation Showcase **Goal:** Showcase all world generation features **Steps:** 1. Generate worlds with various features: - Obstacle patterns (maze, grid, circular) - Lighting effects (volumetric, shadows) - Animations (linear, circular, oscillating) - Trigger zones - Environmental effects (fog, wind) 2. Export worlds for reuse 3. Show metadata and reproducibility **Files:** - `examples/demos/06_world_generation_showcase.py` - `examples/demos/worlds/showcase_*.sdf` (generated) --- ## 🎮 Interactive Demo Scripts ### Interactive CLI Demo **File:** `examples/demos/interactive_demo.py` **Features:** - Menu-driven interface - Step-by-step execution - Real-time feedback - User input for parameters - Explanation at each step --- ### Jupyter Notebooks **Notebook 1: Quick Start** - `examples/notebooks/01_quick_start.ipynb` - Basic operations - Immediate results - Visual feedback **Notebook 2: Advanced Features** - `examples/notebooks/02_advanced_features.ipynb` - Complex scenarios - Performance tuning - Best practices **Notebook 3: Custom Worlds** - `examples/notebooks/03_custom_worlds.ipynb` - World generation - Customization - Export/import --- ### Automated Demo Runner **File:** `examples/demos/run_all_demos.py` **Features:** - Run all demos sequentially - Generate combined report - Save artifacts (worlds, logs, metrics) - Summary statistics --- ## 📚 Tutorial Documentation ### Tutorial 1: Getting Started (Essential) **File:** `docs/tutorials/GETTING_STARTED.md` **Content:** - Installation verification - First MCP connection - Spawn your first model - Basic sensor reading - Next steps --- ### Tutorial 2: Building Navigation Scenarios **File:** `docs/tutorials/NAVIGATION_SCENARIOS.md` **Content:** - Creating navigation worlds - Configuring robots - Setting up sensors - Monitoring navigation - Troubleshooting --- ### Tutorial 3: Advanced World Generation **File:** `docs/tutorials/ADVANCED_WORLD_GENERATION.md` **Content:** - Complex obstacle patterns - Advanced lighting - Animations and triggers - Environmental effects - Performance optimization --- ### Tutorial 4: Multi-Robot Systems **File:** `docs/tutorials/MULTI_ROBOT.md` **Content:** - Coordination strategies - Collision avoidance - Resource management - Performance considerations --- ### Tutorial 5: Performance Optimization **File:** `docs/tutorials/PERFORMANCE_OPTIMIZATION.md` **Content:** - Profiling tools - Optimization strategies - Resource management - Scalability best practices --- ### Tutorial 6: Troubleshooting Guide **File:** `docs/tutorials/TROUBLESHOOTING.md` **Content:** - Common issues - Diagnostic steps - Solutions - Getting help --- ## 🎥 Video Tutorial Scripts **Note:** Written scripts for future video production ### Script 1: 5-Minute Quickstart **File:** `docs/video_scripts/01_quickstart.md` **Content:** - Narration script - Screen actions - Timing markers - Key points to emphasize ### Script 2: Complete Workflow **File:** `docs/video_scripts/02_complete_workflow.md` **Content:** - 15-minute complete demonstration - Real-world scenario - Best practices ### Script 3: Advanced Features **File:** `docs/video_scripts/03_advanced_features.md` **Content:** - Deep dive into capabilities - Tips and tricks - Common patterns --- ## 📁 File Structure ``` examples/ ├── demos/ │ ├── 01_complete_navigation_demo.py │ ├── 02_multi_robot_demo.py │ ├── 03_dynamic_world_demo.py │ ├── 04_sensor_fusion_demo.py │ ├── 05_performance_benchmark.py │ ├── 06_world_generation_showcase.py │ ├── interactive_demo.py │ ├── run_all_demos.py │ ├── worlds/ │ │ ├── navigation_course.sdf │ │ ├── warehouse.sdf │ │ └── README.md │ └── README.md ├── notebooks/ │ ├── 01_quick_start.ipynb │ ├── 02_advanced_features.ipynb │ ├── 03_custom_worlds.ipynb │ └── README.md └── README.md (updated) docs/ ├── tutorials/ │ ├── GETTING_STARTED.md │ ├── NAVIGATION_SCENARIOS.md │ ├── ADVANCED_WORLD_GENERATION.md │ ├── MULTI_ROBOT.md │ ├── PERFORMANCE_OPTIMIZATION.md │ └── TROUBLESHOOTING.md └── video_scripts/ ├── 01_quickstart.md ├── 02_complete_workflow.md └── 03_advanced_features.md ``` --- ## ✅ Acceptance Criteria ### Demonstrations - [ ] 6 complete demonstration scenarios implemented - [ ] All demos run successfully without errors - [ ] Each demo has clear output and explanation - [ ] Demos showcase all major features - [ ] Performance benchmarks provide meaningful metrics ### Interactive Scripts - [ ] Interactive CLI demo works smoothly - [ ] 3 Jupyter notebooks created and tested - [ ] Automated demo runner executes all demos - [ ] Clear instructions for running each ### Documentation - [ ] 6 tutorial documents created - [ ] Each tutorial tested by following instructions - [ ] 3 video scripts written - [ ] All documentation clear and accurate ### Quality - [ ] All demos include error handling - [ ] Clear success/failure indicators - [ ] Comprehensive logging - [ ] User-friendly output - [ ] Performance metrics where relevant --- ## 🚀 Implementation Order ### Phase 7A: Core Demonstrations (Priority 1) **Estimated Time:** 4-6 hours 1. Demo 1: Complete Navigation Setup 2. Demo 6: World Generation Showcase 3. Interactive CLI Demo 4. Getting Started Tutorial ### Phase 7B: Advanced Scenarios (Priority 2) **Estimated Time:** 4-6 hours 5. Demo 2: Multi-Robot Coordination 6. Demo 3: Dynamic World Manipulation 7. Demo 4: Sensor Fusion 8. Advanced tutorials (3-4 documents) ### Phase 7C: Performance & Polish (Priority 3) **Estimated Time:** 2-4 hours 9. Demo 5: Performance Benchmarking 10. Jupyter notebooks 11. Automated demo runner 12. Video scripts --- ## 📊 Success Metrics - **Usability:** New users can run first demo in < 5 minutes - **Coverage:** All 17 MCP tools demonstrated at least once - **Performance:** Benchmarks show expected performance characteristics - **Documentation:** Users can complete tutorials without external help - **Polish:** Professional quality suitable for public showcase --- ## 🎯 Target Audience - **New Users:** Getting started quickly - **Developers:** Integration examples and best practices - **Researchers:** Advanced scenarios and customization - **Decision Makers:** Capability demonstrations and benchmarks --- **Next Steps:** 1. Start with Phase 7A (Core Demonstrations) 2. Implement demos 1 and 6 3. Create interactive CLI demo 4. Write getting started tutorial **Estimated Total Time:** 1-2 days (focused implementation)