New Technology / Robotics
Technology signals, innovation themes, and applied engineering trends. Topic: Robotics. Updated briefs and structured summaries from curated sources.
The Data Behind Humanoid Robots
Full timeline
0.0–300.0
Encord is developing AI-native data infrastructure for over 300 AI teams, focusing on applications like autonomous vehicles and delivery drones. The company has raised $60 million and is valued at over half a unicorn, highlighting its growth potential in the robotics sector.
- Encord builds AI-native data infrastructure for over 300 top AI teams, focusing on applications such as autonomous cars and delivery drones
- The company has raised $60 million and is valued at over half a unicorn, indicating significant growth potential in the robotics sector
- Good data in robotics is context-dependent. Diversity is crucial to avoid redundancy and ensure comprehensive coverage of various scenarios
- Incomplete data can lead to failures in AI systems. These systems lack the intuition that humans possess to generalize across different conditions
- Humanoid robots are gaining traction. Many companies are developing robots designed to integrate into human workflows in homes, warehouses, and farms
- Encord assists customers in collecting the right data for their models. The company emphasizes the importance of tailored data collection over internet pre-training
300.0–600.0
Encord is developing a comprehensive software platform that supports the entire lifecycle of robotics deployment, from data collection to operational management. The company emphasizes the importance of combining software with human operations to meet the data needs of physical AI applications.
- Models trained on collected data learn how the world works and build representations of it. After data collection and pre-training, the focus shifts to post-training steps like annotation and alignment
- The software provided by Encord helps customers create a complete data flywheel from the beginning. This includes all necessary software and services to develop their robotics foundation model
- Customers are beginning to deploy their robots, which is an exciting development. Encord supports these deployments by assisting with the operational aspects of the robots once they are in use
- The company employs a team to manage the robots during their operations. They address any errors that occur, and this process, known as exception handling, is crucial for the softwares effectiveness
- Encord combines both software and human operations to ensure comprehensive data collection. This dual approach is essential for meeting the full data needs of physical AI applications
- The company has spent years developing a scalable software platform capable of handling petabytes of data. This infrastructure will provide a significant advantage as they ramp up their data collection efforts