CLIPort: What and Where Pathways for Robotic Manipulation Mohit Shridhar, Lucas Manuelli, Dieter Fox CoRL 2021
Las características principales de cliport/cliport son: Manipulation and Control, Multimodal Agents.
Las alternativas de código abierto para cliport/cliport incluyen: peract/peract — Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar, Lucas Manuelli, Dieter Fox CoRL 2022. simular-ai/agent-s — Agent-S is a multimodal AI agent and LLM desktop automation framework designed to control operating systems through… 11cafe/jaaz — Jaaz is a self-hosted AI design suite and multimodal workspace used for generating and editing images and videos. It… othersideai/self-operating-computer — This project is a computer control framework that uses multimodal vision models to simulate mouse and keyboard inputs… qwenlm/qwen3-omni — Qwen3-Omni is an omni-modal large language model designed to process and generate text, audio, images, and video… allenai/unified-io-2 — This repo contains code for Unified-IO 2, including code to run a demo, do training, and do inference. This codebase…
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar, Lucas Manuelli, Dieter Fox CoRL 2022
This project is a computer control framework that uses multimodal vision models to simulate mouse and keyboard inputs for automating desktop tasks. It functions as an autonomous agent and vision-based orchestrator that interprets screen visuals to interact with user interfaces. The system employs vision language models and object detection to locate and click interface elements. It utilizes visual grounding to overlay numerical markers on UI components and uses optical character recognition to map on-screen text to precise pixel coordinates. The framework supports voice-controlled computing
Jaaz is a self-hosted AI design suite and multimodal workspace used for generating and editing images and videos. It functions as a design workspace where users can produce visual content and assets through a combination of local and cloud-based AI models. The project features a hybrid model orchestrator that routes requests between local model runners and remote APIs to balance data privacy with processing performance. It utilizes an infinite canvas collaborative tool for organizing storyboards and assets, and includes an image prompt optimizer to translate rough ideas into detailed generati
Qwen3-Omni is an omni-modal large language model designed to process and generate text, audio, images, and video within a single unified neural architecture. It functions as a real-time voice assistant and multimodal AI agent capable of reasoning across different media types and executing external tool-calling functions via APIs. The system supports low-latency conversational AI through autoregressive token streaming and natural turn-taking. It enables multilingual speech translation and generation across dozens of languages, featuring customizable speaker profiles and tones. The model's cap