Name: Tran's Lab
Type: User
Company: University of Nebraska Lincoln
Bio: We are interested in formal verification, safe control synthesis, and safe/robust learning/planning for AI/CPS systems.
Location: Nebraska Lincoln
Blog: https://sites.google.com/view/v2a2/group?authuser=0
Tran's Lab's Projects
Verification and simulation of AcasXu closed-loop system
Simulation and analysis tools for autonomous F-16 maneuvers as a V&V benchmark
Python Version of F-16 Maneuver Verification Benchmark
Fork of Apollo 5.0 for LGSVL Simulator
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
Fast 3D Feature Map Updates for Automobiles
CSE Faculty Learning Community
System for organizing and deploying your CV in academia
Repo for the Deep Reinforcement Learning Nanodegree program
This is the repository of the F1TENTH Gym environment.
F1TENTH ROS simulator and lab skeleton packages with corresponding handout latex files
Simulator packages for the Clearpath Husky for Indigo & prior. For kinetic, visit https://github.com/husky/husky
Multi-Agent DRiving Simulator
Memory Efficient Neural-Network Operations used for neural network verification purposes
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Mixed Reality Toolkit (MRTK) provides a set of components and features to accelerate cross-platform MR app development in Unity.
Visualizer for neural network, deep learning, and machine learning models
Neural Network Enumeration Tool
Python version of the NNV Neural Network Verification Tool
A Python model checking package
Quantized Verification of Neural Networks using Backreachability for ACAS Xu
Specification-based real-time monitoring library
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
A skill-based platform for ROS v.2
Reimplementation using Python of the minimax tilting algorithm by Botev (2016) for simulation and iid sampling of the truncated multivariate normal distribution.
UCLID5: formal modeling, verification, and synthesis of computational systems