March, 23, 2022

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.

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.

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.

Image credit: The Authors

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

More information: