Loading...
Market
Most Utilized Feature in LeRobot by End of 2024
5
Resolution / Starting Odds
Imitation learning • 25%
Reinforcement learning • 25%
Diffusion policies • 25%
ALOHA • 25%
User feedback and usage data reports from Hugging Face
Story
Hugging Face Launches LeRobot, Community-Driven Open-Source Robotics Library in PyTorch
May 6, 2024, 12:57 PM
Hugging Face has launched LeRobot, an open-source robotics code library, marking a significant advancement in making AI robotics accessible to the broader community. The library, developed under the leadership of newly hired former Tesla scientist Remi Cadene, includes state-of-the-art approaches in imitation and reinforcement learning, pre-trained models, and datasets with human-collected data. LeRobot, which is compatible with PyTorch, aims to bridge the gap between AI and real-world applications, with a focus on community-driven development and research breakthroughs such as ALOHA, diffusion policies, and UMI. It also integrates technologies like Figure-01 connected to a pertained model via OpenAI for enhanced reasoning capabilities.
View original story
Similar markets
News Feed Assistance • 33%
Search Assistance • 33%
Chat Assistance • 34%
Web Browsing • 20%
Vision • 20%
Data Analysis • 20%
File Uploads • 20%
Use of GPTs • 20%
Coding • 17%
Writing • 17%
Mathematical Reasoning • 17%
Logical Thinking • 17%
Image Editing • 17%
Style Exploration • 17%
Cognitive reflection • 25%
Reasoning tasks • 25%
Human emotion mimicry • 25%
Mobile platform optimization • 25%
Text-to-Text applications • 33%
Language translation • 33%
Data analysis tasks • 34%
Browsing • 25%
Vision • 25%
Data Analysis • 25%
File Uploads • 25%
GPT-4o • 33%
Custom GPTs • 33%
Claude 3 • 34%
Voice recognition accuracy • 20%
Integration with other apps • 20%
Personalization capabilities • 20%
Multilingual support • 20%
Offline functionality • 20%
Source citing capabilities • 33%
Image integration in responses • 33%
User interface design • 34%
Gemini 1.5 Pro • 20%
Gemini 1.5 Flash • 20%
Project Astra • 20%
Imagen 3 • 20%
Veo • 20%
FT article summaries • 33%
Historical data insights • 33%
Customized news feeds • 34%
Customization Options • 33%
AI-driven Features • 33%
Performance Enhancements • 33%