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[[Paper]](https://arxiv.org/abs/2210.05663) [[Website]](https://mahis.life/clip-fields/) [[Code]](https://github.com/notmahi/clip-fields) [[Data]](https://osf.io/famgv) [[Video]](https://youtu.be/bKu7GvRiSQU)
The main features of notmahi/clip-fields are: Embodied Agents, Manipulation and Control, More to explore, Navigation and Planning.
Projects with overlapping indexed features include: minedojo/voyager — Voyager is an autonomous embodied agent and lifelong learning framework that uses a large language model to explore… facebookresearch/habitat-lab — Habitat-Lab is an open-source platform for training and evaluating embodied AI agents in photorealistic 3D indoor… allenai/embodied-clip. boyuanchen/visual-selfmodeling. cckuailong/superadapters — Finetune ALL LLMs with ALL Adapeters on ALL Platforms! arjunmajum/vln-bert.
Voyager is an autonomous embodied agent and lifelong learning framework that uses a large language model to explore virtual environments. It functions as a code-based action controller, translating natural language instructions into executable scripts to interact with its surroundings. The system features an automatic curriculum generator that creates sequences of exploration goals to discover new items and behaviors without human intervention. It maintains a skill library manager that stores learned behaviors as reusable code fragments, which can be composed to execute complex tasks. The fr
Habitat-Lab is an open-source platform for training and evaluating embodied AI agents in photorealistic 3D indoor environments. It functions as a high-performance 3D indoor environment simulator that supports physics-based interaction, enabling research into navigation and manipulation tasks. The platform provides a modular task-environment abstraction that separates task logic from environment simulation, using configuration-driven pipeline assembly to compose simulation and training pipelines. It includes a hierarchical sensor-actuator architecture for mixing and matching perception and act