ASAP framework
FrameworkA training framework developed by NVIDIA and Carnegie Mellon University to enable humanoid robots to
Overview
**ASAP framework** is a cutting-edge AI tool in the Framework category.
A training framework developed by NVIDIA and Carnegie Mellon University to enable humanoid robots to learn agile whole-body skills by aligning simulation and real-world physics.
Visual Guide
📊 Interactive PresentationInteractive presentation with key insights and features
Key Features
Leverages advanced AI capabilities
Real-World Use Cases
Professional Use
ForA professional needs to leverage ASAP framework for their workflow.
Example Prompt / Workflow
Frequently Asked Questions
Pricing
Standard
- ✓ Core features
- ✓ Standard support
Pros & Cons
Pros
- ✓ Specialized for Framework
- ✓ Modern AI capabilities
- ✓ Active development
Cons
- ✕ May require learning curve
- ✕ Pricing may vary
Quick Start
Visit Website
Go to https://research.nvidia.com/labs/robotics/asap-framework to learn more.
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Explore Features
Try out the main features to understand the tool's capabilities.
Alternatives
A widely used open-source platform for reinforcement learning in robotics, focusing on simulated environments but less specialized in humanoid whole-body agility.
A toolkit designed to facilitate sim-to-real transfer for robotic manipulation tasks, with strong emphasis on domain randomization and policy adaptation.
A set of continuous control tasks for benchmarking reinforcement learning algorithms, including some humanoid models but primarily for research rather than real-world deployment.