Thesis Work on Safe teleoperation of autonomous operations in underground environment

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Robotik och automation · Maskininlärning

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I korthet

This thesis focuses on the safe remote teleoperation of autonomous charging robots in underground mines, addressing challenges posed by 5G network latency. The goal is to develop and validate a latency-compensated teleoperation system with a predictive safety fallback mechanism to maintain accuracy and ensure safe autonomous retreat.

Ansvarsområden

Develop and validate a latency-compensated teleoperation system with a predictive safety fallback mechanism.
Guide and control robotic operation in a safety critical mining environment safely.
Handle 5G communication delays and packet losses.
Develop a network-aware solution to avoid emergency hard stops and improve efficiency.
Design the safety guaranteed control algorithm and evaluate its performance.

Krav

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.

Färdigheter

Machine LearningControlComputer ScienceCommunication

#robotics#teleoperation#autonomous#underground environment#5G#latency#safety#control algorithm#communication

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