Robohub.org
 

CSAIL study finds that human subjects prefer when robots give the orders | MIT News


by
28 August 2014



share this:

 

New research coming out of MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) suggests that letting robots have control over human tasks in manufacturing is not just more efficient — it’s actually preferred by workers.

While manufacturers have long recognized the benefits of automation in streamlining processes and freeing humans from tedious tasks, such as aisle-running, there’s always a concern that workers may feel devalued or even replaceable.

“In our research we were seeking to find that sweet spot for ensuring that the human workforce is both satisfied and productive,” says project lead Matthew Gombolay, a PhD student at CSAIL. “We discovered that the answer is to actually give machines more autonomy, if it helps people to work together more fluently with robot teammates.”

Read more by Adam Conner-Simons on MIT News.



tags: , , , ,


Hallie Siegel robotics editor-at-large
Hallie Siegel robotics editor-at-large





Related posts :



Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Robot Talk Episode 117 – Robots in orbit, with Jeremy Hadall

  11 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jeremy Hadall from the Satellite Applications Catapult about robotic systems for in-orbit servicing, assembly, and manufacturing.

Robot Talk Episode 116 – Evolved behaviour for robot teams, with Tanja Kaiser

  04 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Tanja Katharina Kaiser from the University of Technology Nuremberg about how applying evolutionary principles can help robot teams make better decisions.



 

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


 












©2025.05 - Association for the Understanding of Artificial Intelligence