ΑΙhub.org
 

Bipedal robot developed at Oregon State learns to run


by
11 August 2021



share this:

Cassie the robotImage courtesy of Jonathan Hurst, Oregon State University.

By Steve Lundeberg

Cassie the robot, invented at Oregon State University and produced by OSU spinout company Agility Robotics, has made history by traversing 5 kilometres outdoors in just over 53 minutes. The robot was developed under the direction of robotics professor Jonathan Hurst with a 16-month, $1 million grant from the Advanced Research Projects Agency of the U.S. Department of Defense.

Since Cassie’s introduction in 2017, OSU students funded by the National Science Foundation have been exploring machine learning options for the robot.

“The Dynamic Robotics Laboratory students in the OSU College of Engineering combined expertise from biomechanics and existing robot control approaches with new machine learning tools,” said Hurst, who co-founded Agility in 2017. “This type of holistic approach will enable animal-like levels of performance. It’s incredibly exciting.”

Cassie, with knees that bend like an ostrich’s, taught itself to run with what’s known as a deep reinforcement learning algorithm. Running requires dynamic balancing – the ability to maintain balance while switching positions or otherwise being in motion – and Cassie has learned to make infinite subtle adjustments to stay upright while moving.

“Cassie is a very efficient robot because of how it has been designed and built, and we were really able to reach the limits of the hardware and show what it can do,” said Jeremy Dao, a Ph.D. student in the Dynamic Robotics Laboratory.

“Deep reinforcement learning is a powerful method in AI that opens up skills like running, skipping and walking up and down stairs,” added Yesh Godse, an undergraduate in the lab.

Hurst said walking robots will one day be a common sight – much like the automobile, and with a similar impact. The limiting factor has been the science and understanding of legged locomotion, but research at Oregon State has enabled multiple breakthroughs.

ATRIAS, developed in the Dynamic Robotics Laboratory, was the first robot to reproduce human walking gait dynamics. Following ATRIAS was Cassie, then came Agility’s humanoid robot Digit.

“In the not very distant future, everyone will see and interact with robots in many places in their everyday lives, robots that work alongside us and improve our quality of life,” Hurst said.

During the 5K, Cassie’s total time of 53 minutes included about 6.5 minutes of resets following two falls: one because of an overheated computer, the other because the robot was asked to execute a turn at too high a speed.

In a related project, Cassie has become adept at walking up and down stairs.



tags:


Oregon State University

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Three ways to avoid being fooled by AI slop

  24 Jun 2026
Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong.

Engineering Out Loud: S13E1 – How many robots can a single human supervise?

  22 Jun 2026
Professor Julie Adams describes the research showing that one person can supervise more than 100 autonomous ground and aerial robots.

Everything, eco-where, AI at once?

Laura Martinez Agudelo builds on her research of visual representations of ecology and digitalisation to explore how "AI eco-imagery" is portrayed.

AI is making journalistic language more repetitive and predictable – and it’s a problem for all of us

  17 Jun 2026
What happens to language when a growing amount of text published in the press, online and on social media is written by machines?
monthly digest

AIhub monthly digest: June 2026 – biodiversity, resource allocation, and color metaphors

  16 Jun 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

AAAI presidential panel – AI agents

  15 Jun 2026
Experts discuss AI agents, one of the topics covered in the AAAI Future of AI Research report.

Interview with AAAI Fellow Tanya Berger-Wolf: AI for ecology, biodiversity, and conservation

  11 Jun 2026
Find out about Tanya work on a foundation model for biology and the insights that this can provide.

Statistical or embodied? Comparing people and LLMs in their processing of color metaphors: an interview with Douglas Guilbeault

  09 Jun 2026
We learn what implications color metaphors and synaesthesia have for human and AI cognition.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence