MIT Develops Algorithm to Control Shapeshifting Soft Robots

Summary

Researchers at MIT have developed a new control algorithm that allows shapeshifting soft robots to autonomously learn how to move and shape themselves to complete specific tasks. The algorithm was able to outperform other algorithms on a range of shape-changing tasks, showing promise for the future development of adaptable and versatile soft robots.

Key Points

– MIT researchers have developed a control algorithm that enables shapeshifting soft robots to autonomously learn how to move and change shape to complete tasks.
– The algorithm outperformed other algorithms on complex tasks, such as reducing height, growing legs to navigate narrow spaces, and extending the torso to open a lid.
– The research team also developed a simulator to test control algorithms for deformable soft robots on challenging shape-changing tasks.
– The algorithm’s success demonstrates the potential for developing general-purpose soft robots that can adapt their shape to accomplish a wide range of tasks.

Why it Matters

The development of control algorithms for shapeshifting soft robots has significant implications for various industries and applications. Soft robots have the potential to be maneuverable and adaptable in confined spaces, making them suitable for healthcare, wearable devices, and industrial systems. This research brings us closer to the realization of versatile soft robots that can perform a wide range of tasks.

FAQ

1. What is a shapeshifting soft robot?
– A shapeshifting soft robot is a type of robot that can change its shape and morphology to adapt to different tasks and environments. It typically does not have rigid joints or limbs, allowing for increased flexibility and versatility.

2. How does the control algorithm work?
– The control algorithm developed by MIT researchers enables the soft robot to autonomously learn how to move and change shape to complete specific tasks. It uses machine learning techniques to train the robot to perform different movements and shape changes.

3. What are the potential applications of shapeshifting soft robots?
– Shapeshifting soft robots have various potential applications across industries. They could be used in healthcare for minimally invasive surgeries or drug delivery, in wearable devices for flexible and customizable interfaces, and in industrial systems for tasks that require maneuverability in confined spaces.

Source Link: https://news.mit.edu/2024/better-way-control-shape-shifting-soft-robots-0510