PhD position on under-constrained end-effector path following

Katholieke Universiteit Leuven

Belgium

September 4, 2022

Description

PhD position on under-constrained end-effector path following

(ref. BAP-2022-584)

Last modification : Thursday, August 4, 2022

KU Leuven, ranking among the top 50 universities worldwide, is an institution for research and education with international appeal. All programs at this University are based on the innovative research of its scientists and professors. This project will be carried out as a starting grant for a PhD project within ACRO, the research group on Automation, Computer vision and Robotics, situated on Campus Diepenbeek of the Faculty of Engineering Technology at KU Leuven. ACRO performs research on vision-based and model- based automation, human-robot collaboration, product manipulation and robotic grippers, collision-free trajectory generation and navigation, and (semi-)autonomous assembly and disassembly. This research is performed in close collaboration with industry, as ACRO focuses on the translation of fundamental research into prototypes with a higher Technology Readiness Level. These technologies have a wide application domain ranging from manufacturing, assembly, logistics, agriculture, healthcare, construction, domestic up to end-of-life-treatment and nuclear environments.

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Project

The goal ofthe research project is to develop and assess novel collision-free pathplanning techniques for redundant robot manipulators that executeunder- constrained end-effector path following tasks such as for arc welding,spray painting or adhesive bonding. The candidate is responsible for:

  • acquiring the necessary backgroundfrom literature;

  • proposing an experimental plan totackle the research questions;

  • building experimental setups;

  • performing experiments;

  • analysing data;

  • reporting and presenting results.

  • Thisproject is embedded within larger projects with other universities andcompanies involved.

    Profile
  • You have a Master's degree in Mechanical Engineering or Computer Science with strong overall marks.
  • Knowledge of robotics, programming and computer vision is a plus.
  • Adequate English (written and verbal communication) for scientific interactions is required.
  • Strong motivation and ability to conduct individual research are musts
  • Offer

    The successful candidate will be offered a PhD fellowship to become part of our team to work towards a PhD. This full-time mandate has an initial duration of one year, which can be prolonged depending on competitive financing successes. The final goal will be obtaining a PhD after four years.

    Interested?

    For more information please contact Prof. dr. ir. Eric Demeester, tel.: +32 11 27 88 15, mail: eric.demeester@kuleuven.be.

    KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.