Auke Ijspeert.

Auke Ijspeert

Professor of biorobotics
Swiss Federal Institute of Technology

Auke Ijspeert is professor of biorobotics and head of the Biorobotics Laboratory at the Swiss Federal Institute of Technology (EPFL), where he is also an IEEE Fellow. His research interests are at the intersection between robotics and computational neuroscience. He is interested in using numerical simulations and robots to gain a better understanding of animal locomotion and movement control, and in using inspiration from biology to design novel types of robots and locomotion controllers. He is also interested in assisting people with limited mobility, using exoskeletons and assistive furniture.

Ijspeert has a B.Sc./M.Sc. in physics from the EPFL and a Ph.D. in artificial intelligence from the University of Edinburgh. With his colleagues, he has received paper awards at the 2002 and 2024 International Conference on Robotics and Automation; the 2005, 2015 and 2019 Conference on Climbing and Walking Robots; the 2007 IEEE-RAS International Conference on Humanoid Robots; the 2014 IEEE International Symposium on Robot and Human Interactive Communication; and the 2018 International Conference on the Simulation of Adaptive Behavior. He is associate editor for IEEE Transactions on Medical Robotics and Bionics and was a member of the Board of Reviewing Editors of Science from 2016 to 2025.

Explore more from The Transmitter

Illustration of an open journal featuring lines of text and small illustrations of eyes and mouths.

Links between tuberous sclerosis complex and autism, and more

Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.

By Jill Adams
18 August 2026 | 1 min read
Taylor Bolt photo illustration.

The fun and flexibility of data science

Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.

By Katie Moisse
18 August 2026 | 7 min read
Two trajectories cross over each other showing areas of alignment and misalignment.

Mind over metrics: How can we tell if two brains (or AI models) are alike?

The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.

By Alex Williams
17 August 2026 | 7 min read