Hi there! 👋🏼 I'm Khaled, a robotics engineer at NASA working on Astrobee: a robot currently flying around the International Space Station (ISS) assisting astronauts. I'm passionate about artificial intelligence and autonomous space exploration.
This repo has examples of how to use NVIDIA Omniverse Isaac Simulator to train robots to perform tasks using Reinforcement Learning (RL)
The NVIDIA Omniverse Isaac Simulator (OIS) is a realistic robotic sim that can be used to train robots to perform tasks using Reinforcement Learning (RL) and Proximal Policy Optimization (PPO). In this repo, you can find examples of how to train and evaluate different robots (eg: Franka) on different RL tasks (eg: opening a cabinet drawer)
Quickstart Robot Operating System (ROS) code for running GPU accelerated Simultaneous Localization and Mapping (SLAM) and verifying loop closure in sim
Robot Cooperative Planning
Train and evaluate a pair of robot arms to cooperatively plan and manipulate multiple objects using an Action Chunking Transformer (ACT)