Thesis Work on Safe and optimal planning and control for autonomous mining operations

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Artificiell intelligens

I korthet

This thesis focuses on developing safe and optimal planning and control algorithms for autonomous mining operations. The role involves designing, validating, and evaluating control solutions, with an emphasis on safety and efficiency, and exploring the application of physical AI frameworks.

Ansvarsområden

Design and validate an optimal planner and controller for autonomous mining operations.
Enforce optimal behavior (e.g., repositioning, operation time costs) while guaranteeing safety constraints.
Investigate emergent physical AI and end-to-end control solutions.
Review state-of-the-art solutions in autonomous operations.
Design safety-guaranteed and optimal control algorithms.
Evaluate the performance of the designed solution.

Krav

Strong background in control, robotics, 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.

Önskade kvalifikationer

Experience with physical AI framework.
Familiarity with end-to-end control solutions.

Förmåner

Thesis work for 5 months (January 2027-June 2027).
30 ECTS credits.
Opportunity to work at ABB Corporate Research in Västerås.

Färdigheter

ControlRoboticsMachine LearningProgrammingAI

#AI#Robotics#Control Systems#Autonomous Systems#Mining#Thesis#Internship

Om ABB

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