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MSc Thesis: Generative AI for the Analysis of Complex Robotics Systems



MSc Thesis: Generative AI for the Analysis of Complex Robotics Systems
Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.
In ABB Robotics R&D Motion Control we have several Master thesis opportunities. The Motion Control department is responsible for a wide range of areas within the robot controller development spanning from modeling, identification, control design, optimization for path planning and numerous other motion control functionalities. Generative AI for the Analysis of Complex Robotics Systems: Since the publication of ChatGPT, the huge potential of large language models and generative AI in general to efficiently solve a wide range of tasks has become evident. Crucially, these models can be trained and fine-tuned on huge data corpora and then leverage the contained information as context when processing a new input. While the publicly available tools excel at general purpose tasks such as text generation and analyzing problems or errors in popular programming languages, they perform much worse on more specialized tasks which are barely or not at all represented in their training data. To address this issue, a range of techniques around fine-tuning and in-context learning have been proposed, which will form the core of this project. Depending on the candidate’s interests the thesis will focus on the Automated Analy-sis of System Diagnostics, the Automated Analysis of Controller Errors, a Copilot for RAPID or other. Details: • Start: asap for a period of 6 months • 30 ECTS per student • Suitable for 1-2 students • On site ABB Robotics (Finnslätten) in Västerås (exceptions can be made)

Your responsibilities

  • Investigate the benefits and drawbacks of a range of state-of-the-art fine-tuning and in-context learn-ing techniques (referred to as training henceforth) for the problem at hand and possible adapt them to the project specific needs
  • Evaluation multiple open-source and possibly also commercial LLMs on the task at hand using the training techniques reviewed before, and finally implement a prototype demonstrating the potential of the technology to solve the tackled task
  • Write a high-quality technical report, suitable for publication at an international conference

Your background

  • Motivation to solve real world problems using state-of-the-art methods
  • Background in computer science, statistics, engineering, or similar
  • Good knowledge of Python
  • Excellent problem solving skills
  • Experience with code development and tools such as git, conda etc.
  • Knowledge of AI & ML, ideally LLMs
  • Good interpersonal skills

More about us
Recruiting Manager: Niklas Durinder ([email protected]) and Jordis Herrmann ([email protected]) will answer your questions. Positions are filled continuously. Apply with your CV, academic transcripts and a cover letter in English via the ABB career page. We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website www.abb.com. #LI-hybrid

Västerås, Sweden

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Meterbuen 33, 2740 Skovlunde

ABB er en førende global teknologivirksomhed, der styrker omstillingen af samfundet og industrien for at opnå en mere produktiv og bæredygtig fremtid. Ved at forbinde software med porteføljen af elektrificeringsprodukter, robotter, automation, motorer og frekvens-omformere, løfter ABB de teknologiske grænser op til nye højder.

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