{"id":21815267,"url":"https://github.com/aaron3312/proyectoskeletons","last_synced_at":"2026-02-11T19:34:36.672Z","repository":{"id":263362586,"uuid":"890139882","full_name":"Aaron3312/ProyectoSkeletons","owner":"Aaron3312","description":"💀 A Unity-based multi-agent simulation where autonomous robots collect and deliver objects using computer vision (YOLO v5) and smart navigation. 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Each robot uses:\n- Computer vision (YOLO v5) for object detection\n- Autonomous navigation with NavMesh\n- Real-time metrics tracking\n- 3D graphics and animations in Unity\n\n![Robot Agents](images/robots.png)\n*The robot agents working together in the environment*\n\n## 🚀 Project Structure\n### Part 1: Multi-Agent System\n#### Agent Properties and Environment\n- **Agent Type**: Robot Agent\n- **Capabilities**:\n  - NavMeshAgent-based movement (15 units speed)\n  - Collision detection and handling\n  - Object manipulation (pick/drop)\n  - Inter-agent communication\n  - Obstacle jumping (jumpForce = 5f)\n  - Animated movement\n\n![Collision System](images/EvitColizion.png)\n*Demonstration of the collision avoidance system*\n\n![Collection Process](images/recolecting.png)\n*Robot performing object collection tasks*\n\n#### Environment Properties\n- NavMesh-defined navigation space\n![Navigation Mesh](images/Navmesh.png)\n*NavMesh configuration for autonomous navigation*\n\n- Two distinct zones:\n  - Red Zone (A): Collection area (-15, -1.19, 0)\n![Zone A](images/zonaA.png)\n*Collection zone where objects are initially placed*\n\n  - Blue Zone (B): Delivery area (30, -1.19, 0)\n![Zone B](images/zonaB.png)\n*Delivery zone where objects are transported*\n\n- Environmental challenges:\n![Obstacles](images/obstaculos.png)\n*Various obstacles and terrain challenges*\n\n- Dungeon environment: ~120 x 25 x 180 units\n- 10 randomly distributed cubes in red zone\n\n![Dynamic Lighting](images/luces.png)\n*Example of dynamic lighting implementation in the environment*\n\n#### Performance Metrics\nThe system tracks:\n1. Cubes Delivered\n2. Total Distance Traveled\n3. Efficiency Ratio (cubes/distance)\n4. Delivery Rate (cubes/minute)\n\n![Performance Metrics Dashboard](images/metricas.png)\n*Real-time performance metrics visualization*\n\n![Advanced Analytics](images/metricas2.png)\n*Detailed performance analytics and agent efficiency tracking*\n\n### Part 2: Unity 3D Implementation\nLocated in `/codes/`:\n- `h45.cs`: Individual robot prefab controller\n- `robotWorld2.cs`: World controller script\nFeatures:\n- Material and texture mapping\n- Walking/running animations\n- Basic collision detection\n- Dynamic lighting\n\n### Part 3: Computer Vision\nLocated in `/pycodes/`:\n- YOLO v5 implementation\n- Real-time UDP camera stream processing\n- Object recognition system\n\n![YOLO Detection](images/yolo.png)\n*YOLO v5 object detection in action*\n\n### Part 4: Metrics Dashboard\nLocated in `/robot-dashboard/`:\n- Real-time visualization of robot performance metrics\n- Interactive charts and graphs\n- Agent status monitoring\n\n  \n\n## 📦 Repository Contents\n```\n├── codes/\n│   ├── h45.cs\n│   ├── robotWorld2.cs\n│   └── [other Unity scripts]\n├── pycodes/\n│   ├── CameraController.py\n│   ├── Controller2.py\n│   └── [other Python vision processing scripts]\n├── robot-dashboard/\n│   ├── src/\n│   ├── package.json\n│   └── [other web dashboard files]\n├── images/\n│   ├── dungeon.png\n│   ├── robots.png\n│   ├── metricas.png\n│   ├── metricas2.png\n│   ├── luces.png\n│   ├── yolo.png\n│   ├── EvitColizion.png\n│   ├── Navmesh.png\n│   ├── obstaculos.png\n│   ├── recolecting.png\n│   ├── zonaA.png\n│   └── zonaB.png\n├── Documentation.pdf\n├── demo.mp4\n└── project.unitypackage\n```\n\n[El resto del contenido continúa igual hasta la licencia]\n\n## 📄 License\n\nCopyright (c) 2024 Aarón Hernández Jiménez\n\nAll rights reserved.\n\nThis software and associated documentation files (the \"Software\") are protected by copyright law. No part of this Software may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the copyright holders.\n\nPermission Restrictions:\n1. The Software may not be used, copied, modified, merged, published, distributed, sublicensed, and/or sold without explicit written permission from the copyright holders.\n2. Any unauthorized use, reproduction, or distribution of the Software may result in severe civil and criminal penalties, and will be prosecuted to the maximum extent possible under law.\n\nTo request permission for usage:\n- Contact: \n  - Aarón Hernández Jiménez - A01642529@tec.mx\n- Required Information for Request:\n  - Intended use\n  - Scope of usage\n  - Duration of usage\n  - User/Organization information\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n## 👥 Contributors\n- Aarón Hernández Jiménez (A01642529)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faaron3312%2Fproyectoskeletons","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faaron3312%2Fproyectoskeletons","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faaron3312%2Fproyectoskeletons/lists"}