Robohub.org
 

Compliant actuator for 1DOF hopper


by
26 September 2011



share this:

For a long time, robots were seen as rigid machines driven by sturdy motors. This raised worries concerning the safety of people interacting with them. One option to make robots safer is to equip them with compliant actuators that can adapt to external forces, such as a human getting in the way. Note that most natural systems also rely on compliant actuators such as muscles that can store energy, thereby making them more efficient for tasks such as running or hopping.

Building on the potential of safe and energy efficient actuators, Vanderborght et al. propose a new type of actuator called MACCEPA 2.0 (Mechanically Adjustable Compliance and Controllable Equilibrium Position Actuator). As seen in the figure below, when the position of the profile disk (heart shape) is changed by a servomotor or the joint is bent, this causes the tendon that is guided over the profile to pull on the spring. To counteract the pulling force, a torque will be generated that depends on the shape of the profile. To change the compliance of the actuator, simply replace the profile by another shape. Similar to what happens in human legs, the stiffness of the actuator increases with joint flexion.

Working principle of the MACCEPA 2.0. Top: Bent position (generating torque). Middle: At equilibrium position (not generating torque). Bottom: Preloaded spring caused by rotating profile.

The actuator was demonstrated on the 1DOF hopping robot Chobino1D shown below. The spring is preloaded by turning the profile using a servomotor before releasing the tension for the jump. Using MACCEPA 2.0, the robot was able to jump much higher than a robot with a stiff actuator.




Sabine Hauert is President of Robohub and Associate Professor at the Bristol Robotics Laboratory
Sabine Hauert is President of Robohub and Associate Professor at the Bristol Robotics Laboratory





Related posts :



Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

  31 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Edith-Clare Hall from the Advanced Research and Invention Agency about accelerating scientific and technological breakthroughs.

A flexible lens controlled by light-activated artificial muscles promises to let soft machines see

  30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.

Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.

Robot Talk at the Smart City Robotics Competition

  22 Oct 2025
In a special bonus episode of the podcast, Claire chatted to competitors, exhibitors, and attendees at the Smart City Robotics Competition in Milton Keynes.

Robot Talk Episode 129 – Automating museum experiments, with Yuen Ting Chan

  17 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Yuen Ting Chan from Natural History Museum about using robots to automate molecular biology experiments.

What’s coming up at #IROS2025?

  15 Oct 2025
Find out what the International Conference on Intelligent Robots and Systems has in store.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence