A breakdown of 100 days encapsulating my journey of learning ROS, starting at the basic and upscaling to advanced concepts
Coordinated Agent Team is a prompt-driven multi-agent system for autonomous software delivery. It defines clear agent roles, a deterministic workflow, strict I/O contracts, and artifact-based coordination.
We introduce a novel approach for Autonomous System (AS) embedding using deep learning based on only BGP announcements. Using these vectors we are able to solve multiple important classification problems such as AS business types, AS Types of Relationship (ToR) and even IP hijack detection.
Mole is a tool to assist with testing and experimentation involving robots and autonomous systems.
abTARS is a personal agent built around Pi harness: persistent memory with abmind, messaging connectivity, skills, scheduled task, self healing and multi agent collaboration
Implementation of real-time variant of RRT* called RT-RRT* capable of dealing with dynamic obstacles and changing goal locations.
Governed AI Execution System with approval gating, trust-based automation, and rule-based defensive security validation.
ROS 2 system where anomaly detection pauses the swarm and hands the decision to a human operator, with immediate execution across all agents
Our team is dedicated to developing cutting-edge AI/ML solutions for weather and climate. We are committed to pushing the boundaries of innovation and making a lasting impact on the world. Our work may be in stealth mode, but our passion for driving positive change is loud and clear.
A software simulation of autonomous drone payload delivery across rough terrain. The system loads a terrain map, identifies unsafe/obstacle zones, finds safe landing spots, selects an optimal central hub, plans a delivery tour, and executes it leg-by-leg using A* pathfinding — all rendered in a live visualization.
To associate your repository with the autonomus-systems topic, visit your repo's landing page and select "manage topics."