Master Thesis “Benchmarking Motion Planning for a Forklift in Real-World Application”

As

for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy and society.

Our  

invites applications for a master’s thesis position in

. At

, the

, such as cranes and forklift trucks, is a

In the future, these machines will take over repetitive and dangerous tasks. To

, many complex issues need to be investigated, ranging from

and

. For

, the

for autonomous machines in

, where also our

team conducts research activities.

Throughout our projects, we deal a lot with the topic of

. Motion planning in the 2D plane is a

resulting in a broad spectrum of feasible methods and algorithms. However,

. This makes an objective quantification and comparison beforehand difficult. Potential motion planning algorithms include sampling-based planners, like RRT with all its variants, geometric algorithms like spline approaches, and optimisation-based planners. Motion planning is especially challenging for environments with multiple paths and narrow passages and for systems, where changes of driving directions are necessary.