Master Thesis: Hybrid Motion Planning for Real-Time Robotics

JobsinAustria

Wien

Hybrid

EUR 6.100 - 7.800

Teilzeit

14 Tage+
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Benefits dieser Stelle

Meal allowance
Organic coffee
Fruit baskets
Preventive healthcare benefits
Company doctor
Flexible working hours (home office up

Zusammenfassung

AIT Austrian Institute of Technology in Vienna invites applications for a master thesis on hybrid motion planning for real-time model predictive control in robotics. You will explore combining gradient-based and sampling-based optimisation to improve trajectory generation.

Responsibilities include literature review, algorithm analysis, MATLAB implementation, simulation-based evaluation on ground vehicles, and an experimental test on a Husky platform, under expert supervision.

Qualifikationen

  • Ongoing master's studies in automation & control or related field.
  • Excellent knowledge in optimization.
  • Excellent knowledge of MATLAB and Python.
  • Strong analytical capabilities and technical understanding.
  • Interest in industry-oriented applied questions.

Aufgaben

  • Conduct a comprehensive literature review of motion planning methods and solvers.
  • Analyse and compare existing algorithms for hybrid planning.
  • Implement the selected algorithms in MATLAB.
  • Evaluate the methods in simulation with ground vehicles.
  • Perform an experimental evaluation on a Husky platform.
  • Analyze results and derive recommendations for future research.
  • Discuss results with interdisciplinary experts from mathematics, informatics, physics and control.

Kenntnisse

Optimization
Analytical thinking
Teamwork
German/English language

Ausbildung

Ongoing master's studies in automation & control
Technical mathematics
Technical Informatics

Tools

MATLAB
Python

Jobbeschreibung

AIT Austrian Institute of Technology in Vienna invites applications for a master thesis on hybrid motion planning for real-time model predictive control in robotics. You will explore combining gradient-based and sampling-based optimisation to improve trajectory generation.

Responsibilities include literature review, algorithm analysis, MATLAB implementation, simulation-based evaluation on ground vehicles, and an experimental test on a Husky platform, under expert supervision.

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