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Crossformer

Developed by rail-berkeley
CrossFormer is a unified policy model applicable to manipulation, navigation, mobility, and aerial tasks, designed for scalable applications in cross-embodied learning.
Downloads 48
Release Time : 8/21/2024

Model Overview

CrossFormer is a multi-task policy model focused on robotics, capable of handling various tasks such as manipulation, navigation, mobility, and aerial operations.

Model Features

Cross-embodied learning
Supports multiple robotic tasks including manipulation, navigation, mobility, and aerial operations, enabling unified policy learning.
Scalable applications
Designed for scalable deployment and application across various robotic platforms.

Model Capabilities

Robotic manipulation
Navigation control
Mobility planning
Aerial task execution

Use Cases

Robotics
Multi-task robot control
Uses a single model to control robots for multiple tasks such as grasping, moving, and navigating.
Improves task execution efficiency and consistency.
Aerial robot applications
Applied to UAVs or other aerial robots for task execution.
Enables automation of complex aerial tasks.
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