A cutting-edge, production-ready robotic security system repository focusing on autonomous surveillance, intelligent threat detection, and adaptive response. Built with ROS 2, advanced AI/ML (edge & cloud), and robust engineering principles for secure, resilient, and scalable operations in 2025 and beyond.
The Robotic Security System aims to revolutionize security operations by providing highly reliable, efficient, and autonomous surveillance, detection, and intervention capabilities. Designed for continuous operation and secure deployment, this system significantly augments human security teams, enabling proactive threat neutralization and comprehensive environmental awareness. Our vision is to deliver an intelligent, self-optimizing, and resilient robotic platform that integrates seamlessly into modern security infrastructures.
This repository encapsulates a state-of-the-art robotic security system engineered for the challenges of 2025 and beyond, featuring:
- Proactive Multi-Modal Monitoring: Continuous collection and analysis of visual (visible, IR, thermal), auditory, LiDAR, and event-based sensor data for a comprehensive environmental understanding.
- Intelligent Detection & Prediction (Edge AI & Cloud): Advanced AI/ML models deployed on-device and in the cloud for accurate identification of anomalies, unauthorized access, suspicious behaviors, and proactive threat prediction using behavioral analysis and Explainable AI (XAI).
- Automated Alerting & Adaptive Response: Instant notification of human operators with actionable insights, coupled with pre-defined, automated responses or interventions.
- Autonomous & Adaptive Navigation: Robust SLAM, VIO, and neural SLAM for precise localization and dynamic 2D/3D mapping. Adaptive path planning with proactive obstacle avoidance for navigation in complex, dynamic, and unstructured environments, including multi-robot coordination.
- Secure & Resilient Communication: Redundant and encrypted communication channels (Wi-Fi 6/6E, 5G, LoRa/mesh) ensuring robust connectivity with central command, other robots, and security infrastructure, even in challenging network conditions.
- Self-Healing & Self-Optimizing: Integrated mechanisms for self-diagnosis, fault recovery, and continuous performance optimization through MLOps and secure Over-The-Air (OTA) updates.
- Ethical & Privacy-by-Design: Built with a strong emphasis on data privacy (minimization, anonymization, secure storage), fairness (bias mitigation), transparency (XAI), and adherence to ethical guidelines and regulations (GDPR, CCPA, emerging AI Acts).
This guide will help you set up your development environment and get the robotic security system software running.
- Ubuntu 22.04 LTS (Recommended for ROS 2 compatibility)
- Docker & Docker Compose
- Git LFS
- NVIDIA GPU (for AI/ML development, if applicable)
- ROS 2 Humble Hawksbill (or newer, if available and stable)