#Robotics

ROScribe transforms how robotic projects are developed by leveraging natural language interfaces and large language models (LLMs) to streamline ROS package creation. It aids beginners by simplifying ROS use and provides seasoned engineers with efficient, time-saving solutions. Through a step-by-step process, ROScribe identifies ROS nodes and topics, generates necessary code, and supports the project lifecycle. From simulation to integration of open-source assets, ROScribe delivers a holistic and intuitive experience with the assistance of SpecAgent, GenAgent, PackAgent, and SupportAgent.

MachinaScript offers an LLM-JSON-based language for constructing AI-driven robots. The tool supports generative movements and functionality integration, helping manage components such as Arduinos and Raspberry Pis. Designed to handle complex tasks via a perception-action loop, it allows real-time response through vision systems and signal parsing. Customize robotics projects with fine-tuned models and engage with the community for development insights.

Discover a comprehensive platform with over 200 environments and more than 2600 realistic objects tailored for embodied AI research. This framework supports multiple agents and a variety of AI tasks across diverse image settings, bridging simulation and real-world scenarios in a neutral and effective manner.

This repository provides a comprehensive collection of research and resources on Implicit Representations and Neural Radiance Fields (NeRFs) in the context of Robotics and Reinforcement Learning (RL). It features a curated selection of key papers, relevant workshops, and progress updates on integrating NeRFs into areas such as object reconstruction, pose estimation, SLAM, and manipulation. Regular updates make it a central resource for researchers interested in exploring these technologies. Learn about significant features, recent developments, and practical applications illustrating the impact of NeRFs on robotic systems.