Robohub.org
 

Bioinspired robotics #3: Wearables, with Conor Walsh


by
01 December 2015



share this:
Source: Wyss Institute at Harvard University

Source: Wyss Institute at Harvard University

In the Disruptive Podcast series, Terrence McNally speaks directly with Wyss Institute researchers, exploring what motivates them and how they envision our future as might be impacted by their disruptive technologies. In part 3 of the Disruptive: Bioinspired Robotics episode, Wyss Core Faculty Member Conor Walsh discusses how a wearable robotic exosuit or soft robotic glove could assist people with mobility impairments, as well as how the goal to create real-world applications drives his research approach.

Walsh is the founder of the Harvard Biodesign Lab, which brings together researchers from the engineering, industrial design, apparel, clinical and business communities to develop new technologies and translate them to industrial partners. His research focuses on applying disruptive technologies to the development of robotic devices for augmenting and restoring human performance. His current research interests include new approaches to design, manufacture and control of wearable robotic devices and characterizing their performance through biomechanical and physiological studies.

He leads a team of researchers on the DARPA Warrior Web project to develop a soft exosuit that can assist with locomotion that can perform small levels of assistance to a wearer. The exosuit’s function is based on a detailed understanding of human walking and is soft and pliable, unlike traditional exoskeletons that use rigid components. The long term goal is to develop fully portable wearable robots to assist the disabled and able-bodied and further the scientific understanding of how humans interact with such machines.

Source: Wyss Institute at Harvard University

Source: Wyss Institute at Harvard University


If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , , , , ,


Wyss Institute uses Nature's design principles to develop bioinspired materials and devices that will transform medicine and create a more sustainable world.
Wyss Institute uses Nature's design principles to develop bioinspired materials and devices that will transform medicine and create a more sustainable world.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Researchers develop modular nanorobot

  31 Jul 2026
A team at the University of Basel has developed a versatile nanorobot with propulsion and payload modules.

Surviving the paper deluge: a one-year study in learning from demonstration

With the explosion of robotics research, staying current in fields like Learning from Demonstration is a monumental challenge.

Soft robotic heart offers new way to study disease and test life-saving devices

Researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices.

A mini robot to simplify dental treatment

  24 Jul 2026
Researchers have developed a miniature dental robot that could one day automatically prepare teeth for crowns.

Pressure-free growing robots for soft medical robotics

A Q&A with the best paper award winner at RoboSoft.

Interactive world simulator for robot policy training and evaluation

  20 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.

Undergrads’ weed-killing robot wins top prize

  17 Jul 2026
Their robot can travel through a vineyard or orchard without a human operator, zapping weeds with a small amount of electricity.

A flapping robot swims and flies like a diving bird

  15 Jul 2026
An aerial-aquatic vehicle developed at EPFL and MIT could lead to a new class of devices for ocean exploration.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence