Robohub.org
ep.

255

podcast
 

Learning about Legged Locomotion from Birds with Monica Daley


by
04 March 2018



share this:




In this episode, Audrow Nash speaks with Monica Daley about learning from birds about legged locomotion. To do this, Daley analyzes the gaits of guineafowl in various experiments to understand the mechanical principles underlying gaits, such as energetic economy, mechanical limits, and how the birds avoid injury. She then tests her ideas about legged locomotion on legged robots with collaborators, including Jonathan Hurst from Oregon State University. Daley also speaks about her experience with interdisciplinary collaborations. 

Monica Daley

Monica Daley earned an HBSc in Biology with a Chemistry minor at the University of Utah, where she was inspired to pursue an academic career through her research on human locomotor-ventilatory integration with Dennis Bramble and David Carrier. Daley then spent a year as a research technician at the University of Utah, investigating motor control of singing in zebra finches in the lab of Franz Goller. These experiences initiated a long-standing fascination with the interplay of mechanics and neural control.

Daley went on to Harvard University, where she earned her MA and PhD in Organismic and Evolutionary Biology. Her research on muscle-tendon dynamics and biomechanics of avian bipedal locomotion was supported by a prestigious Predoctoral Fellowship award from the Howard Hughes Medical Institute and supervised by Andrew Biewener at the Concord Field Station of Harvard University (CFS Website).

After completing her PhD, Daley was awarded a Research Fellowship by the U.S. National Science Foundation to develop models of the dynamics and control of bipedal locomotion, working with Dan Ferris in the Human Neuromechanics Lab at University of Michigan, in collaboration with Auke Ijspeert in the Biologically Inspired Robotics Group at the Swiss Federal Institute of Technology in Lausanne.

Daley is a faculty member of the Structure and Motion Lab, where she leads research in Comparative Neuromechanics— a field that seeks to understand the interplay of morphology, mechanics and sensorimotor control that influences how animals move through their environment.

 

Links



tags: , , , , ,


Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast
Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

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.

Wristband enables wearers to control a robotic hand with their own movements

  13 Jul 2026
By moving their hands and fingers, users can direct a robot to play the piano, shoot a basketball, or manipulate objects in a virtual environment.

#RoboCup2026 social media round-up

  08 Jul 2026
Find out what the teams got up to at this year's RoboCup extravaganza in Incheon.

#RoboCup2026 – humanoid league knockout stages

  06 Jul 2026
Find out who won the small, middle and large divisions in Incheon.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence