🚀Path Planning & Obstacle Avoidance Mega Bundle- UGV, AUV, Mobile Robots, AI & Simulink Projects
📦 Product Description:
Master the art of intelligent navigation and robotics simulation with this Ultimate Path Planning & Obstacle Avoidance Mega Bundle! Whether you're working on UGV (Unmanned Ground Vehicle), AUV (Autonomous Underwater Vehicle), or mobile robots, this bundle equips you with industry-relevant, ready-to-use projects and models for academic, industrial, or research purposes.
From beginner to expert level, this collection includes detailed, well-structured MATLAB and Simulink models covering AI-based path planning, obstacle avoidance algorithms, and autonomous robot control techniques.
🔍 What’s Inside:
- UGV (Unmanned Ground Vehicle) Projects
- AUV (Autonomous Underwater Vehicle) Simulation
- ASV(Autonomous Surface Vehicle) Simulations
- Grid-based and continuous space navigation
- Fuzzy logic and ANFIS-based obstacle avoidance
- GWO, PSO, ACO, GA integrated path planning systems
- 3D underwater path-following and trajectory control
- static and dynamic obstacle avoidance using MATLAB
- RRT, A*, Dijkstra algorithms with obstacle avoidance
- SLAM V-rep (Coppeliasim+MATLAB) integration
- Real-time trajectory tracking with visualization
- Neuro-Fuzzy (ANFIS), Genetic Algorithm (GA), Particle Swarm Optimization (PSO)
- Reinforcement Learning for robot path control
- Hybrid techniques (e.g., Neuro-Fuzzy)
- Integrated Simulink environments with logic-based control
- 2D/3D animation of robot movement
- Map generation and obstacle recognition
📎 Included Files & Resources
.m MATLAB codes for all models
.slx Simulink files for simulation
Sample maps, demo images, and figures
💡 Why This Bundle?
✅ Plug-and-Play Projects: Save time with ready-to-run files
✅ Full Source Code: Easily modify and adapt for your own projects
✅ Versatile Use-Cases: Ideal for robotics students, researchers, and engineers
✅ Professional Quality: Clean structure, modular design, and visualization
✅ Supports Research & Education: Use in academic theses, R&D, or teaching
⚠️ Important Note:
This bundle includes a mix of our original work, resources from paid platforms (like Coursera), published authors, and select open-source materials. It’s compiled for educational use and added convenience.
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🌍 Website: engrprogrammer.com