Internship: Robot Machine Learning

Sense Glove is offering an internship focused on Robot Machine Learning.

The goal of the Sense Glove R1 is to enable telerobotic control of robotic hands and collect high-quality robot interaction data. This data can then be used to train machine learning models that help robots learn tasks autonomously.

During this internship, you will work on combining imitation learning using the R1 glove with reinforcement learning techniques to teach a robot how to perform a practical task. An example application could be automating repetitive manual work such as laying and plugging in wires during car assembly.

The objective is to help develop a solution where the task can be performed automatically and be suitable.

Position Overview
Responsibilities
Imitation/Reinforcement learning

Develop an approach using imitation learning and reinforcement learning to teach a model how to successfully plug cables into sockets for automated electronic assembly of cars.

Focus mainly on simulation-based evaluation, as most training and testing will be performed in simulation environments.

Machine perception can be temporarily ignored during development.

Contribute to building solutions that are intended for future real-world deployment.

Who We’re Looking For

Machine learning education/experience in Reinforcement and/or Imitation Learning

Preferably a Robotics Master or comparable experience.

Hands on relevant Machine Learning experience is a big pre.

What we offer?

Duration: 3 to 8 months (flexible)

A collaborative R&D environment in Rotterdam

An open and vibrant work culture

Bi-weekly company lunch

Quarterly team activities

Weekly fresh fruit delivery in office

Monthly compensation of €342

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