Robohub.org
 

Video of human controlling a quadrotor via non-invasive brain/computer interface


by
04 June 2013



share this:

Researchers from the University of Minnesota have developed a non-invasive brain/computer interface that allows humans to remotely control a robot (in this case, a quadrotor) using only their thoughts. The research team, led by Bin He, Professor of Biomedical Engineering, hopes this technology can one day be used to help people with speech and mobility problems.

According to research team member Karl LaFleur, “If you imagine making a fist with your right hand, it turns the robot to the right. And if you imagine making a fist with both hands, it moves the robot up.”

The beauty of this research is that no implants are required to interface with the system.

Instead, an EEG cap fitted with 64 electrodes is used to transmit the brain’s electric currents to a computer, which then sends the commands via Wi-Fi to the robot. This non-invasive approach to controlling assistive robotic devices is important because, while researchers have had some success using implants to control assistive systems, neural-machine connections tend to degrade over time.

Says Professor He: “We envision this technology will be used to control wheelchairs, artificial limbs or other devices.”

See also these similar systems:

 



tags: , ,


Robohub Editors





Related posts :



Researchers are teaching robots to walk on Mars from the sand of New Mexico

  02 Sep 2025
Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars

Engineering fantasy into reality

  26 Aug 2025
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.

RoboCup@Work League: Interview with Christoph Steup

and   22 Aug 2025
Find out more about the RoboCup League focussed on industrial production systems.

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

and   21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.

AIhub coffee corner: Agentic AI

  15 Aug 2025
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions

and   25 Jul 2025
Hear from PhD student Kate about her work on human-robot interactions.

#RoboCup2025: social media round-up part 2

  24 Jul 2025
Find out what participants got up to during the second half of RoboCup2025 in Salvador, Brazil.

#RoboCup2025: social media round-up 1

  21 Jul 2025
Find out what participants got up to during the opening days of RoboCup2025 in Salvador, Brazil.



 

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