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

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence

In short

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.

Responsibilities

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.

Requirements

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.

Desired Qualifications

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

Benefits

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

Skills

ControlRoboticsMachine LearningProgrammingAI

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

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