Interdisciplinary Project (IDP) / Master thesis: Simulation of Tower Crane 3D Lift Task Integrated with Reinforcement Learning

18.09.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

In this project, we aim to develop a reinforcement learning (RL)-based method that incorporates the actuator system of a tower crane into spatio-temporal lift planning in three-dimensional virtual environments, where various strategies of algorithm types and learning rules will be tested. The proposed approach should be promising for planning feasible lifting paths and estimating reasonable lifting times, which help generate and review lifting plans given the site conditions.

Kontakt: mohammadreza.kolani@tum.de | hossein.malmir@tum.de

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