Robohub.org
 

Engineering highly adaptable robots requires new tools for new rules

Northwestern University mechanical engineering professor Todd Murphey and his team are engineering robots that one might say could make robotic assistance as seamless as “humanly” possible. With support from the National Science Foundation (NSF), the team is using novel algorithmic tools, such as a drawing robot, to develop the algorithms, or rules of behavior, that would greatly enhance a robot’s ability to adapt to human unpredictability.

Murphey points out that in order for robots to help people, they have to have at least a basic understanding of the types of tasks people can do. Some tasks, like lifting and placing an object, are close to the types of tasks that robots already do. Other tasks, like drawing, are harder for robots, partly because there are so many ways to get the same image. As Murphey explains: “And so, drawing is a type of task that’s maybe not the same as that sort of precision manufacturing task that we’ve seen robots do historically.”

Murphey sees many possibilities for robots that work alongside humans in everyday tasks, but one application his lab is focused on currently is physical therapy. The goal is to develop robots that can help patients not only move through the paces of their physical therapy without hurting themselves but allow them to complete movement tasks by creating mechanical environments to make this feasible. “Algorithms developed here will eventually run on physical therapy robots designed to help people with tasks like balance and feeding themselves,” says Murphey.

His collaborator, Julius P. Dewald, runs the Northwestern School of Medicine’s Physical Therapy and Human Movement Sciences Department. Dewald has pioneered the use of robotics in stroke rehabilitation and sees great promise in Murphey’s new approaches.



tags: , , , , ,


the National Science Foundation (NSF) is an independent federal US agency created to promote the progress of science.
the National Science Foundation (NSF) is an independent federal US agency created to promote the progress of science.

            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