Turning a “flaw� into a superpower: Sheffield researchers redefine how robots move

The team of engineers from the School of Electronic and Electrical Engineering have turned a robotic ‘flaw’ into an advantage by using hysteresis to enable soft robots to move, morph, and grow with minimal actuation.

Turning a “Flaw� into a Superpower: Sheffield Researchers Redefine How Robots Move
Caption: The robot has intrinsic shape hysteresis and can be reconfigured into billions of different shapes with sequential commands of only two motors (A and B).

A research team led by Dr Lin Cao from the University of Sheffield’s School of Electrical and Electronic Engineering has reimagined one of robotics’ long-standing “flawsâ€� as a breakthrough feature — unveiling a new way for soft robots to move, morph, and even “growâ€� with unprecedented dexterity.

 The study, published in Science Advances, introduces Hysteresis-Assisted Shape Morphing (HasMorph) — a concept that could change how engineers design flexible robots for medicine, industry, and disaster response.

From “More Motors� to “Smarter Motion�

Traditionally, roboticists have believed that to achieve more dexterous motion, robots need more actuators — like adding more strings to a puppet. But this makes robots bulky, expensive, and hard to control.
 Dr Cao’s team took a radically different view: what if fewer actuators could do more, by taking advantage of a natural mechanical behaviour that engineers usually try to eliminate — hysteresis.

Hysteresis occurs when a system’s motion doesn’t exactly retrace its path when forces are reversed — for instance, the small delay between gears switching direction because of clearance between gear teeth. “Instead of fighting this effect, we decided to use it,� said Dr Cao. “Hysteresis can actually be harnessed to make robots remember their previous shapes and perform complex movements with minimal actuation.�

Three Breakthroughs in One Concept

  1. Flipping the mindset – The team turned hysteresis from a system flaw into a design advantage, using it to create controllable, stable shape changes in soft robots.
     
  2. The HasMorph actuation paradigm – With only two tendons, the robot can control multiple bending sections independently, achieving billions of possible shapes. This represents a major shift from the conventional â€œmore motors for more dexterityâ€� approach.
     
  3. Reversible shape morphing for growing robots – By combining HasMorph with a tip-everting soft growing robot that extends at the tip like a plant, the team enabled dexterous control of both shape and growth direction. The robot can grow forward, steer around obstacles, follow the exact path of its tip (“follow-the-leaderâ€�), and even shorten from the tip — a long-sought capability in the field.

Why It Matters

This combination of simplicity and intelligence in motion opens new possibilities in several fields:

  • Minimally invasive surgery – A thin robotic endoscope could navigate frictionlessly inside the body, avoiding healthy tissue to reach target organs safely and precisely.
     
  • Search and rescue – Robots could move through collapsed structures or rubble to locate survivors.
     
  • Pipeline and structural inspection – Robots could explore confined, winding spaces without needing bulky mechanisms or multiple motors.
     

“For patients, this could mean safer, less traumatic procedures,â€� said Dr Cao. “For roboticists, HasMorph is a paradigm shift — it shows that more dexterous motion doesn’t always mean more motors. It means designing smarter.â€�

51²è¹Ý¶ù the Study

The paper, â€œHysteresis-assisted shape morphing for soft continuum robots,â€� was published in Science Advances in 2025.
 Authors: Zhezyuan Bi, Tianchen Ji, Sanja Dogramadzi, Soo Jay Louis Phee, Jiajun. Liu, Wenjie Lai, Diyang Wu, Bing Zhang, and Lin Cao.