OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
A framework for the creation of autonomous agent services.
RL environments and tools for spacecraft autonomy research, built on Basilisk. Developed by the AVS Lab.
An inexpensive, autonomous, regolith-mining robot
Record rosbags automatically for events on robot 🤖 👜
Simplifying the autonomous vehicle development process.
Control Systems Analysis Framework - a framework to minimize the effort required to evaluate, implement, and verify controller design (classical and learning enabled) with respect to the system dynamics.
Mole is a tool to assist with testing and experimentation involving robots and autonomous systems.
Visual Grounding for Autonomous Agents: linking language and vision for robotics or autonomous navigation
BringAuto Etna - Fleet Management simulation for developement and testing
HooVer: a statistical model checking tool with optimistic optimization
Autonomous Vehicles Simulator using Deep Reinforcement Learning
Contains simulation and visualization tools for the 3DCHESS IAST project
Detects pedestrians, cars, and lane lines. Uses OpenCV, Tensorflow, & mobilenet.
Heuristic, Q-Learning and Deep Q-Learning algorithms to guide an AI player's decision making in the board game Sequence.
A* and Recursive BFS strategies to autonomously guide Pacman in the maze world.
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