Blog Post

Quadruped Robot Dog Gives a High Five

The researchers have developed a nonlinear Model Predictive Control (MPC) framework for multi-legged robots that can generate whole-body motion plans in real-time.

Quadruped Robot Dog walks different terrain using a model predictive control.
The quadruped dog robot can maneuver through different terrains using a novel model predictive control algorithm. Image credit: The Authors

In this study, the proposed control system is implemented on Solo12, a quadruped robot that is able to perform several motions such as trotting, bounding, and jumping. The robot dog is able to generate a very complex motion, such as a high-five, with the help of its full-body capabilities.

Quadruped Robot Dog gives a high five that resembles a high five from a cute dog.
The quadruped robot gives a high-five that resembles a cute high-five from a dog. The dog depicted is Hannah who is a smart Goldendoodle cutie. Image credit: The Authors

Before proceeding: We just want to be upfront with you, some links on this page are affiliate links, meaning Mecharithm will earn a small commission if you click on those links and make a purchase. We use these funds directly to operate the business, maintain our website, and create awesome content for you.

The purpose of this research is to solve the challenging problem of online planning of whole-body motions for legged robots. It is the nonlinear dynamics of these robots that pose this challenge.

Quadruped Robot Dog gives a high-five. It resembles a cute high five from a goldendoodle, Hannah.
Image credit: The Authors

Funding: New York University, the European Union’s Horizon 2020 research and innovation program, NSF, and AWS Lighthouse Scholarship.

Watch a short video of this below:

More information:
https://arxiv.org/abs/2201.07601

Thanks for reading this robotics news piece. You can access more categorized news on Robotics and Mechatronics at the link below:
https://www.mecharithm.com/category/robotics-mechatronics-news/

If you enjoyed this post, please consider contributing to help us with our mission to make robotics and mechatronics available for everyone. We deeply thank you for your generous contribution!




Do not forget to contact us:

Be sure to let us know your thoughts and questions about this post, as well as the other posts on the website. You can either contact us through the “Contact” tab on the website or email us at support[at]mecharithm.com.

Send us your work/ research on Robotics and Mechatronics to have a chance to get featured in Mecharithm’s Robotics News/ Learning:

Follow Mecharithm in the following social media too:

YouTube, and Instagram

Leave a Reply

Your email address will not be published.

Related Posts