دوره بهینه‌سازی برنامه‌ریزی در سیستم‌های رباتیک خودکار همراه با فلش‌کارت آموزشی — ارائه روی فلش مموری

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره بهینه‌سازی برنامه‌ریزی در سیستم‌های رباتیک خودکار

موضوع کلی: توسعه پیشرفته عامل‌های هوشمند و سیستم‌های خودکار

موضوع میانی: بهینه‌سازی برنامه‌ریزی

📋 سرفصل‌های دوره

• 1. Introduction to Autonomous Robotic Planning
• 2. Fundamentals of Motion Primitives
• 3. Classical Path Planning Algorithms
• 4. Grid‑Based Path Search (A*, Dijkstra)
• 5. Dynamic Environment Planning
• 6. Time‑Predictive Planning
• 7. Multi‑Agent Coordination Planning
• 8. Hierarchical Task Decomposition
• 9. Model Predictive Control Integration
• 10. Reinforcement Learning for Planning
• 11. Deep Learning Based Trajectory Optimization
• 12. Cost Functions Designing for Planning
• 13. Energy‑Constrained Path Planning
• 14. Real‑Time Replanning Techniques
• 15. Sensor Fusion for Environment Perception
• 16. Semantic Mapping for Planning
• 17. Probabilistic Roadmaps (PRM)
• 18. Rapidly‑Exploring Random Trees (RRT)
• 19. Hybrid Approaches Combining Classical and Learned Methods
• 20. Planning Under Uncertainty (Robust Optimization)
• 21. Constraint Handling in Robot Navigation
• 22. Communication‑Aware Planning
• 23. Edge Cases and Failure Recovery Planning
• 24. Benchmark Datasets for Planning Evaluation
• 25. Implementation in ROS (Robot Operating System)
• 26. Simulation Environments (Gazebo, Webots)
• 27. Performance Metrics and Evaluation
• 28. Case Studies: Warehouse Automation
• 29. Case Studies: Service Robotics
• 30. Advanced Motion Primitives (IK, Inverse Kinematics)
• 31. Geometric Planner Enhancements
• 32. Cost Scalarization Strategies
• 33. Learning‑Based Global Planner
• 34. Curriculum Learning for Planning Policies
• 35. Transfer Learning Across Domains
• 36. Safety Constraints Integration
• 37. Human‑Robot Interaction Planning
• 38. Collaborative Robots Team Planning
• 39. Long‑Horizon Planning and Lookahead
• 40. Memory Management for Sequential Planning
• 41. Parallel Planning and Distributed Computing
• 42. Edge Computing Considerations for Onboard Planning
• 43. Validation and Testing Methodologies
• 44. Standardized Reporting and Documentation
• 45. Future Trends in Automated Planning
• 46. Ethical Considerations in Autonomous Planning
• 47. Regulatory Compliance in Robotic Systems
• 48. Hands‑On Lab: Path Planning Project
• 49. Final Review and Assessment
• 50. Continuous Improvement and Research Directions
• 51. Open Source Toolkits Overview
• 52. Contribution Guidelines for Course Participants