Student Projects and Jobs

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If no suitable topic or position could be found in this overview, but there is still interest in participating in our chair, please leave a message at the following email address:

work-and-thesis@rsi.ei.tum.de

Robot Safety: Bachelor/Master Thesis | Research/Engineering-Internship

Designing Collision Test Devices and Collision Testing

Recently the collaboration between robot and human is becoming more and more close. Therefore several constraints for the robot have to be fulfilled. Most importantly human injury has to be prevented. Based on work of Prof. Dr. Haddadin a new portable collision test device has to be build, collision test with human subjects and models for human subjects run and the data merged into safety curves. 
 

Tasks:

- CAD modelling and construction of a collision test device for human limbs 
- Validation of the device and propsed models
- Testing and data collection

Type:

Internship, Bachelor-/Masterthesis
(The tasks can be spllit into diffrent workpackages)

Prerequisites:

- experience in CAD-modelling
- C++ knowledge
- basic biomechanical knowledge

Contact:

robin-jeanne.kirschner@tum.de

Collision Analysis and Safe Control in Human-Robot Interaction

Currently, increasing effort is taken in the robotics community to understand injury mechanisms during physical human-robot interaction (pHRI). This is motivated by the fact that human and robot will work intensively and closely together, and therefore, one has to be aware of the potential threats in case such a close cooperation takes place and take appropriate countermeasures to ensure human safety via planning and/or control. In the context of safety in pHRI, possible topics that can be addressed in the thesis/internship are:

  • Design and analysis of collision experiments and/or testing devices
  • Development and verification of collision simulations
  • Survey of biomechanics and forensics literature
  • Development of robot motion planning and/or control schemes for ensuring human safety

Prerequisites:

  • Studies in Mechanics, Mechatronics, Electronics, Computer Science 
  • Knowledge in robotics & control (for topics on planning & control)
  • Good C++ programming skills
  • Matlab/Simulink
  • Working knowledge in ROS
  • Ability to work well structured and organized
  • Creativity

Contact:
Mazin Hamad, M.Sc.
mazin.hamad@tum.de
Chair of Robotics Science and Systems Intelligence

Artificial Hand Design

Novel Contact Sensor Design and Interpretation Pipeline

→ Bachelor/Master Thesis
→ For more information contact us!

Steps:

  • Literature research
  • Concept design
  • Experimental setup
  • Experimental evaluation (compare different sensors)

Prerequisites:

  • Signal-Processing
  • Sensor-Techonology
  • Mechatronic-System developement
    --> Focus on: Sensors and sensor-electronics
  • Programming
  • Matlab

Contact:
 Francesco Vigni
francesco.vigni@tum.de
+49 (89) 289 - 29436
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Johannes Ringwald
johannes.ringwald@tum.de
+49 (89) 289 - 29414

Learning the Body of Robotic Hands: Automatic Component Placement

Bachelor/Master Thesis | Research/Engineering-Internship
→ For more information contact us!

Prerequisites:

  • Handling/Collision-Detection of 3D models/objects
    (e.g. CAD, 3D-Game-Engines, STL-Files, ...)
  • Optimization
  • Programming
  • Matlab

Contact:
Johannes Ringwald
johannes.ringwald@tum.de
+49 (89) 289 - 29414

Self-Structure-Learning for Automatic Design of Robotic Hands (FEM based)

Bachelor/Master Thesis | Research/Engineering-Internship
→ Contact us for more information

Prerequisites:

  • Topology/Structure Optimization
  • CAD / FEM
  • Construction/hardware development
  • Programming
  • Matlab

Contact:
Johannes Ringwald
johannes.ringwald@tum.de
+49 (89) 289 - 29414

Task Planning

Multi-Agent Task Planning for Complex Assembly Tasks

Type: Research internship

Tasks

The goal is to implement a task planner that incorporates both human and robotic co-workers to accomplish a given assembly task. Concrete work packages are:

  • Implementation of task planner based on existing theory
  • Further development of task planner by integrating e.g. human factor analysis

Requirements

  • Experienced with C++ (this is very important)
  • Familiar with python
  • Basic knowledge in robotics (task planning, AI are a plus)

Motivation

The strict separation of human and robot workspaces was considered a necessity until a few years ago, as humans were usually considered as disturbances to the execution of a robot task and robots in turn posed significant threats to the human. However, with the recent emergence of safer robots that enable humans and robots to share the same workspace, the field of physical human-robot-interaction (pHRI) gained also significant practical relevance. On the practical side, pHRI is nowadays of particular interest in purely manual industrial assembly tasks. Despite robots have proven to be well suited for many tasks and the potential of safer robots is now well understood, numerous rather complex processes cannot be accomplished yet by robots alone due to their limited cognitive capabilities. In particular, flexible tasks, as well as unstructured or underspecified environments pose still significant challenges to full automation. Therefore, the combination of human cognitive skills with the skills of collaborative robots allows not only for working alongside humans and in partially unknown environments, but also collaborate with other agents, let them be humans or other robots, for accomplishing a common goal. Consequently, the robot needs to be able to plan complex tasks, which involve interactions, collaborations, common goals and certain group dynamics.

Contact

Lars Johannsmeier

lars.johannsmeier@tum.de

+49 (89) 289 - 29406

AI-Enabled Lab-Automation

AI-supported robotic Lab Assistant: Reliable automated liquid handling for the daily laboratory routine of the future

Type: Research/Engineering-Internship

→ For more information contact us!

The automation of laboratory processes in chemistry, biotechnology, pharmaceuticals, food technology and medicine is already a reality today. However, many solutions offered on the market today are either too expensive and/or only specially developed and optimized for certain processes in the laboratory. In order that laboratory automation can be used as a tool for everyone in the daily laboratory routine, an automation process for a AI-supported robotic lab assistant is to be developed and implemented in the laboratory in this application research project. As a process to be automated, reliable automated liquid handling is to be tackled for the time being. To achieve this, one of the latest collaborative robots is available as well as 3D printing options for flexible gripper finger development.

 

The following procedure is planned:

  • Extensive literature research Robotics in laboratory automation
  • Analysis and development of robotic finger systems for the use of laboratory tools
  • Analysis, automation and evaluation of process sequences with regard to liquid handling in the laboratory
  • And much more ...

Prerequisites:

  • From the fields of Electrical Engineering and Information Technology, Mechanical Engineering or Mechatronics
  • Basic knowledge in robotics, control engineering and system theory
  • Good programming skills in C/C++, Python, Matlab
  • Good CAD design skills (SolidWorks etc.)
  • Experience with 3D printing
  • Creative but structured and independent work

Contact:
Dennis Knobbe
dennis.knobbe@tum.de
+49 (89) 289 -29412

Optimal Sensor Configuration

Optimal Sensor Configuration

Sensor fusion and filtering is an important topic in signals and systems as well as robotics. More specifically, combining sensors of different types enables one for further robot analysis and devise advanced control strategies. However, in order to get optimal technical and computation costs, the number of sensors has to be carefully chosen. Moreover, for some sensors such as accelerometers whose output signal depends on their location, the sensor placement needs to be optimally chosen, as well. Within the framework of these criteria, we seek to formulate an algorithm for proper selection of sensors and analyze the method optimality, in this thesis.

Who Are You?

  • An enthusiastic mechanical/electrical/robotic master student
  • Interested in signals and systems analysis and optimization problems
  • Familiar with sensor technologies
  • Familiar with Matlab, Simulink and python

Contact

ali.baradaran@tum.de

Human modeling

3-D modeling and real-time visualization of skeletal muscle deformation

There are nowadays numerous 3D computer graphic models for musculoskeletal systems, but unfortunately they are either static with anatomically correct muscle rendering or rigged with abstracted muscle representation. For a 3D model with both anatomically correct muscle rendering and various degrees of freedom of movement, the muscle deformation during the movements is a challenge (see video).

We expect from you
- Basic knowledge of mechanics and multi-body systems (kinematics, statics)
- Object-oriented programming (C++ or C#)
- Interest in visualization of anatomy and development of computer games

We offer
- Well established workplace
- Professional supervision

Contact:
M.Sc. M.Sc. Tingli Hu
tingli.hu@tum.de