Safe Model Predictive Diffusion: Training-free diffusion planner for provably safe and kinodynamically feasible trajectory

Veritex is a Python toolbox for verification and automated repair of Deep Neural Networks, supporting both exact and over-approximate analysis of reachable outputs. It helps debug unsafe behaviors and generate provably safe DNNs.

Implementation for the NFM 2024 paper "SMT-Based Dynamic Multi-Robot Task Allocation", providing tools for solving dynamic MRTA problems using SMT solvers.

A ROS package providing a stack for simulating and implementing various multi-robot task allocation (MRTA) algorithms in environments like Gazebo.

Specless: SPECification LEarning and Strategy Synthesis

StarV is a framework for monitoring and verification codesign in distributed learning-enabled Cyber-Physical Systems. It uses event-driven execution and star set reachability to verify complex behaviors of dynamical systems in real time.

RTAMT is a Python library for real-time and offline monitoring of Signal Temporal Logic (STL) specifications.

Build advanced, safe robotic systems with CBFKit. Powered by JAX, this extensible Python/ROS2 toolbox integrates CBFs (including with MPPI!), supports diverse robots, controllers, sensors, and estimators, ensuring safety even in uncertain environments.

A command-line tool for spatio-temporal matching of perception streams.