1X Redwood AI
$ 0
Vision-language transformer for end-to-end manipulation in human environments on NEO robots
Showing 1–16 of 40 results
-
-
1X World Model
$ 0Physics-based world model using video/prompts; enables NEO robots to learn by observation
-
AgiBot GO-1
$ 0
Vision-language AI using ViLLA framework for scene understanding, action planning and execution
-
Agility Whole-Body Control FM
$ 0
“Motor cortex” foundation model for Digit humanoid ensuring stability across varied tasks
-
Being-H
$ 0
Hand motion generation model for dexterous manipulation; pretrained on massive human manipulation videos; enables robotic hands to master new tasks with minimal real robot data
-
Being-M
$ 0Whole-body motion generation model learning general human behavioral patterns from large-scale video; bridges robot brain and body; generates full-body motion sequences from high-level task instructions
-
Being-VL
$ 0Next-gen multimodal foundation model for robotics; unifies 3D spatial understanding, language intent, perception, cognition, reasoning and planning for autonomous navigation and task execution
-
Being-W
$ 0Low-level whole-body control model for humanoid robots; trained with RL on massive human data; achieves stable zero-shot execution of full-body motion commands
-
DayDreamer
$ 0
Model-based RL agent that learns directly from image observations on real robots with a world model; no sim-to-real needed
-
DreamDojo
$ 0
NVIDIA world model for robot training via simulation; integrated with Isaac and GR00T ecosystem
-
Field AI
$ 0
World model-based autonomy platform for robots in unstructured environments; focuses on outdoor and industrial settings
-
Gemini 2.0
$ 0
Built on Gemini 2.0; extends multimodal capabilities for dexterous tasks like origami folding
-
Gemini Robotics On-Device
$ 0Built on Gemini 2.0; extends multimodal capabilities for dexterous tasks like origami folding
-
GEN-0
$ 0
Trained on 270 000+ hours of real-world manipulation data; tested on semi-humanoid robots up to 16+ DoF
-
GEN-1
$ 0GEN-1 is a robotics foundation model designed to enable general-purpose intelligence and adaptable behavior across physical systems.
-
GENE-26.5
$ 0
GENE-26.5 is a general-purpose world model that predicts how environments change over time, enabling AI systems to reason, plan, and adapt across complex real-world scenarios.