ABB
Thesis Work on Safe teleoperation of autonomous operations in underground environment
Sweden · Work style not stated
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerABB
- LocationSweden
- Work styleWork style not stated
- Employer posted
At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.
This Position reports to:
R&D Team Lead
Your role and responsibilities
This thesis addresses the challenge of safe remote teleoperation of autonomous charging robots in underground mines. Remote teleoperation from a surface control room removes personnel from danger but introduces a critical challenge: 5G network latency is highly variable due to tunnel propagation, equipment interference, and radio shadows. Uncompensated latency causes arm overshoots during operation while handling explosive material, risking collision damage and hazard. The goal is to develop and validate a latency-compensated teleoperation system with a predictive safety fallback mechanism that maintains the operation accuracy despite communication delays, while ensuring safe autonomous retreat if connectivity degrades unexpectedly.
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Details:
- Period: January 2027-June 2027, 5 months
- Number of credits:30 ECTS
- Number of students for this thesis work: 1
- Location: ABB Corporate Research (Västerås)
This thesis will address the following research topics:
- How to guide and control robotic operation in a safety critical mining environment safely?
- How to handle 5G communication delays, packet losses, etc?
- How to develop a network-aware solution to avoid emergency hard stops, etc., to improve the efficiency of the solution?
Goals:
- Design the safety guaranteed control algorithm and evaluate the performance of the solution.
Qualifications for the role
- Strong background in communication, computer science, control, machine learning, or similar disciplines
- Motivated to solve real-world problems using state-of-the-art methods.
- Self-driven and solution oriented.
- Good programming skills.
More about us
Recruiting Manager Linus Thrybom, +46 730 80 9906, will answer your general questions. Supervisors Maryam Sharifi (maryam.sharifi@se.abb.com) and Alf Isaksson (alf.isaksson@se.abb.com) will answer questions about the thesis topic and expectations.
Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English.
We look forward to receiving your application!
A future opportunity
This role is part of our talent pipeline, which means it’s not currently open, but we’re always looking for curious minds, bold thinkers, and people who want to make an impact.
Click Apply to express your interest and be considered for future opportunities that match your experience and aspirations.
At ABB, we welcome people from all backgrounds and believe that diverse perspectives help us build a cleaner, smarter future.
Apply today or visit https://www.abb.com to learn more about how we help run what runs the world.
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