Popular GitHub Repositories for Av Aloha

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

Argoverse 2: Next generation datasets for self-driving perception and forecasting.

Python toolkit for speech processing

Code for the paper: "Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation"

An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents

official repo for AAAI ALOHA chatbot

Adobe Photoshop is a professional image editing software that enables users to create, modify, and enhance digital artwork

AV Projects with the CARLA simulator

Unscented Kalman Filter (in C++) for Self-Driving Car (AV) Project. Using Sensor Fusion, combines noisy data from Radar and LIDAR sensors on a self-driving car to predict a smooth position for seen objects.

EDR & AV Bypass Arsenal— a comprehensive collection of tools, patches, and techniques for evading modern EDR and antivirus defenses.

Code for paper: "Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers"

Tool to design and optimize autonomous vehicle concepts.

SumoWare integrates SUMO and Autoware to enable realistic autonomous vehicle (AV) behavior evaluation in diverse traffic scenarios.

Reinforcement Learning applied to Autonomous Networking to issue scheduling and decision to drones.

Bosch Challenge: Path Planning Challenge for Self Driving (AV) Cars. Udacity Self-Driving Car Nanodegree

AV Tools - A collection of CLI tools for audio and video processing (powered by AI). Audio transcription, Video to Audio conversion, YouTube downloader.

This C2 Framework serves as a testbed to explore the limitations of state of the art AV and EDR solutions

This repository features a custom OpenAI Gym environment, Gym Aloha Pick and Place, designed for robotic pick-and-place tasks. It supports imitation learning and reinforcement learning, allowing agents to learn from demonstrations and self-play.

An interface design to facilitate AV-to-pedestrian interaction

Multi Agent Conditional Imitation Learning based system for testing AV software in the CARLA Simulator