Robohub.org
 

Power Loader power amplification exoskeleton robot


by
08 January 2013



share this:
12-0225-r

This power amplification robot, called Power Loader, is currently under development by Activelink, a Panasonic subsidiary venture.

The aim is to achieve a robot that can freely utilize power beyond human strength, in emergencies or on construction sites. Power Loader’s role is to link people with construction machinery.

“Power Loader receives the force input by a person through its force sensors, and amplifies it using motors. In this way, it assists the person, by producing a large force that the person can’t achieve alone. The concept we’ve used to develop Power Loader is, you get into it, rather than wearing it. Using this concept makes it safer to operate.”

When Power Loader was first developed, Activelink made a very large version. But following the accident at the Fukushima Daiichi nuclear plant, development has shifted to Power Loader Light, a more compact version.

“In each sole, there’s a six-axis force sensor. In line with the force vectors detected there, three axes for each leg are used to control motors in the ankle, knee, and hip, exerting a force in the direction of support.”

“We want to make Power Loader capable of carrying 50-60 kg while moving with agility. The legs could be used to support something very heavy, such as a radiation suit, and we think it could also carry 50-60 kg easily using the robot arms.”

This equipment serves as a platform for research on power loader control, which is being considered by Activelink and the Japan Atomic Power Company. It can be used to carry 30 kg with one arm, while exerting a minimum of effort.

“This is a trial harness, for use in designing a connection to the Power Loader Light legs. We’ve made it as compact as possible while producing this much power.”

“After that, we’re considering a very large version. The big Power Loader, which we were developing before, uses 22 motors. We’d like to achieve an exoskeleton with that kind of all-axis assist. When we do that, we think we’ll have a robot that can carry at least 100 kg easily.”



tags: , ,


DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.
DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.





Related posts :



Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.

CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.

Robot Talk Episode 132 – Collaborating with industrial robots, with Anthony Jules

  07 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Anthony Jules from Robust.AI about their autonomous warehouse robots that work alongside humans.

Teaching robots to map large environments

  05 Nov 2025
A new approach could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.

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.



 

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