Martin Huber

Martin Huber

PhD, robotics software & machine learning engineer combining classical control with learned policies for robust, real-time execution on autonomous robotic systems — with a focus on computer vision and imitation learning.

Projects

ROS 2 control driver for KUKA LBRs

A Fast Robot Interface (FRI)-based ROS 2 control driver for KUKA LBRs (IIWA / Med) with compatibility across various FRI SDK versions.

Imitation learning-based velocity policy for NMPC pattern generation

An imitation-learned policy trained to search for fire extinguishers, generating planar translational and rotational velocities for a nonlinear MPC pattern generator. Deployed as a JIT-scripted model via the PyTorch C++ (LibTorch) SDK.