This company develops soft manipulators and AI foundation models to enable safe and intuitive robotics applications. Their Helix manipulator offers high degrees of actuation and precision for soft robotic design and control projects. They also train custom Visual Language Action (VLA) models to translate natural language commands into robotic movements.
Funding
€25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional robotic systems struggle with handling delicate, irregularly shaped, or deformable objects in unstructured environments. This limitation restricts automation in sectors requiring nuanced manipulation, leading to increased manual labor and reduced operational efficiency.
Solution
Embodied AI develops advanced soft robotic systems that enable precise and adaptable manipulation of challenging objects. Our proprietary compliant actuators and integrated tactile sensing provide robots with a nuanced sense of touch, allowing for dexterous interaction with a wide range of materials. This technology facilitates automation in applications where traditional rigid grippers are insufficient, improving throughput and reducing product damage. Our systems are designed for seamless integration into existing manufacturing and logistics workflows, offering a scalable solution for complex handling challenges.
Target Audience
Our primary customers are manufacturers and logistics providers in industries such as electronics assembly, food processing, and e-commerce fulfillment that require sophisticated robotic manipulation capabilities.
Features
- Compliant robotic end-effectors utilizing pneumatic artificial muscle (PAM) technology for inherent compliance and safety.
- Integrated, high-resolution tactile sensing arrays providing real-time feedback on contact forces, texture, and slip detection.
- Advanced control algorithms for precise force modulation and adaptive grasping strategies.
- Modular design for customization and integration with various robotic manipulators.
- Real-time data acquisition and processing for closed-loop control and performance monitoring.