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.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence