HomeElectronics NewsLiving Robots with Built-In Control System

Living Robots with Built-In Control System

Living robots now have nervous systems, letting them control movement and change behavior, pointing to a future where biology becomes programmable.

Neurobots have a surface of specialized cells and a nervous system controlling motion.
Neurobots have a surface of specialized cells and a nervous system controlling motion.

Scientists at the Wyss Institute for Biologically Inspired Engineering have created tiny living robots with functional nervous systems that can actively control their movement and behavior, moving beyond earlier biohybrid machines that lacked internal coordination.

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In experiments, these constructs—called neurobots—showed clear differences from earlier biobots. They became more elongated in shape, displayed higher levels of activity, and produced more complex and varied movement patterns. When both neurobots and earlier biobots were exposed to a drug that alters neural signaling, their responses diverged. This result supports the conclusion that the newly introduced nervous systems were not passive, but were directly influencing how the robots behave.

The neurobots are built entirely from frog embryonic cells. Unlike traditional robots made from metal and silicon, or earlier living robots that relied on simple propulsion using cilia, these new systems integrate neurons within their bodies. These neurons self-organize into active neural networks and connect with other cell types, including multiciliated cells responsible for movement. This integration creates a basic internal control system.

Earlier living robots, known as xenobots, could move through liquid environments and respond to simple environmental cues, but they did not have any centralized system to coordinate activity. To address this limitation, the researchers introduced neural precursor cells at an early stage of development. Over time, these cells matured into neurons, formed connections with each other, and extended toward cells involved in motion.

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The addition of nervous tissue also led to broader biological changes. Researchers observed shifts in global gene expression, including the activation of genes associated with visual system development in frogs. While this does not mean the neurobots can sense their environment, it suggests the potential for incorporating sensory capabilities in future versions.

The work builds on earlier research into cell-based machines and opens new directions for studying how living systems organize, communicate, and function. According to Donald Ingber, founding director of the institute, such systems could contribute to biomedical research by offering new ways to study development, behavior, and disease, and may eventually support applications that are not yet fully defined.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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