Master Thesis: Hybrid Motion Planning for Real-Time Robotics

AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH; Wien; Hybrid; EUR 6,100 - 7,800; Part time

Benefits offered by this job

Meal allowance

Organic coffee

Fruit baskets

Preventive healthcare benefits

Company doctor

Flexible working hours (home office up

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Optimization

Analytical thinking

Teamwork

German/English language

Education

Ongoing master's studies in automation & control

Technical mathematics

Technical Informatics

Tools

MATLAB

Python

Job description

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.