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Project Overview

Project Code: ED 13

Project name:

Intelligent Construction Equipment Collaboration (ICEC) – Analysis and practical evaluation of machine-to-machine collaboration in unstructured, unpredictable physical environments

TUM Department:

ED - Mechanical Engineering

TUM Chair / Institute:

Chair of Materials Handling, Material Flow, Logistics

Research area:

Robotics

Student background:

Civil EngineeringComputer EngineeringElectrical EngineeringFurther disciplinesMechanical Engineering

Further disciplines:

Robotics; Mechatronics;

Planned project location:

Chair of Materials Handling, Material Flow, Logistics
Technical University of Munich
Boltzmannstraße 15
85748 Garching bei München

Project Supervisor - Contact Details


Title:

Given name:

Maximilian

Family name:

Schöberl

E-mail:

max.schoeberl@tum.de

Phone:

+498928915915

Additional Project Supervisor - Contact Details


Title:

Prof. Dr.-Ing.

Given name:

Johannes

Family name:

Fottner

E-mail:

j.fottner@tum.de

Phone:

Additional Project Supervisor - Contact Details


Title:

Given name:

Family name:

E-mail:

Phone:

Project Description


Project description:

Introduction
Robots and automated equipment functions are becoming an everyday sight on construction sites, farms, or warehouses. Today, these robots or robotic function focus on a single, specific task in a process, leading to discrete, isolated robot applications. In order to smooth robotic operations along the value-creating process, collaboration between robots and equipment with robotic functions needs to be improved. Construction activities offer a wide range of collaboration use cases, which should be explored.
Tasks and Opportunities
This field of research offers multiple rather smaller or larger research opportunities. The exact focus of the research project is to be discussed and agreed on in the first days of the project. Focus examples:
- Evaluation of different communication network infrastructures (e. g. WLAN, 5G, StarLink, …) in unstructured and physically unpredictable environments
- Clustering and requirements allocation of collaboration use cases in construction scenarios
- Collaboration case study: Interaction between an autonomous vibratory plate and an intelligent loading crane (autonomous lifting and de-/coupling operation)
Outcomes
Contributions towards the analysis and practical evaluation of machine-to-machine collaboration in unstructured, unpredictable physical environments. Under appropriate circumstances, the research results can be jointly published.

Working hours per week planned:

35

Prerequisites


Required study level minimum (at time of TUM PREP project start):

3 years of bachelor studies completed

Subject related:

You are interested in digital transformation and automation. A passion for construction or similar equipment is a plus but not mandatory.

Other:

You are open to work hands-on at our testing facility. Your working style is structured, rigorous, and analytic in nature.

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