Soft, robotic cells from morph embed physical AI into hardware
By integrating reinforcement learning with high-fidelity physics-based simulation, morph said it enables a faster translation from concept to product. | Source: morph As advances in AI have made robots smarter and more capable, some developers are increasingly focusing solely on the software element of intelligence. Robotics startup morph is taking a different approach, one that sees embodied AI as both a hardware and a software problem. The London-based company embeds sensing and adaptive contr
A robotics startup has developed soft, deformable materials with embedded sensing and adaptive control that can change their shape and stiffness in real time, integrating artificial intelligence directly into the hardware itself rather than treating hardware and software as separate problems. These soft robotic cells can sense information from their environment and morphologically adapt to create motion, support, or protection without relying on rigid mechanical systems. The approach matters because soft materials enable safer human interaction and greater adaptability across different environments, while recent advances in computational power now make it possible to simulate and test soft robotic systems that were previously too difficult to predict mathematically. The company plans to work with other developers across healthcare, automotive, and industrial applications, positioning itself as a design and manufacturing partner rather than a direct product manufacturer.
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Memories.ai builds standardized egocentric video pipeline
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