2026-08-14 –, Room 4
This talks will demonstrate Julia in an embedding setting with Petoi Bittle robots. We show how to run a state estimation using adaptive kalman filter implemented with RxInfer.jl and communicate with Petoi Bittle Dog robot using PetoiBittle.jl, all of this autonomously on Raspberry PI.
Integrating software and hardware can be a huge pain. Incompatibilities, different communication protocols create a bottleneck for researchers.
In this talk we will show listeners how Julia can be integrated with actual hardware. We show how we embed Julia on Raspberry PI and, as an example, we will be using state-of-the-art state estimation software RxInfer.jl. For communication we use the open-source library PetoiBittle.jl and as a hardware we use an open source programmable robotics platform called Petoi and their open-source high-performance Robot Dog called Bittle.
This work has been conducted together with Wouter Kouw, assistant professor from BIASlab https://biaslab.github.io/author/wouter-kouw/
Links
- https://rxinfer.com/ - RxInfer website
- https://www.petoi.com/ - Petoi robots website
- https://github.com/ReactiveBayes/RxInfer.jl - RxInfer official GitHub repository
- https://github.com/bvdmitri/PetoiBittle.jl - Petoi Bittle communication library
Senior software engineer and PhD scientist with a strong mathematical foundation and expertise in software development, machine learning and data science. Brings a unique blend of academic rigor and hands-on industry experience, with a proven track record of leading technical teams, architecting complex systems, and translating cutting-edge research into practical applications.