Working Student (HiWi): Robotics Full-Stack for Mobile Manipulators (Husky Platform)
Working Student (HiWi): Robotics Full-Stack for Mobile Manipulators (Husky Platform)
Working Student (HiWi): Robotics Full-Stack for Mobile Manipulators (Husky Platform)
Working Student (HiWi): Robotics Full-Stack for Mobile Manipulators (Husky Platform)
Technische Universität München
Fach- und Hochschulen
München
- Art der Anstellung: Studierende
- Vor Ort
- Zu den Ersten gehören
Working Student (HiWi): Robotics Full-Stack for Mobile Manipulators (Husky Platform)
Über diesen Job
Working Student (HiWi): Robotics Full-Stack for Mobile Manipulators (Husky Platform)
14.10.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten
Position: Working Student (HiWi) – Robotics Full-Stack for Mobile Manipulators (Husky Platform)
Supervisor: Panagiotis Petropoulakis
Chair: Prof. Dr.-Ing. André Borrmann, Chair of Civil and Environmental Engineering
Start: Winter Semester 2025
Location: TUM Main Campus
Overview
Join our robotics team to develop autonomous mobile manipulation on a Clearpath Husky platform with a 6-DOF arm. You will work across the entire robotics software stack—simulation, perception, planning, and control—using ROS2, Gazebo, and modern machine learning tools.
Available Topics
- Simulation & System Integration: Extend and maintain the simulation environment in ROS2/Gazebo. Implement new features, fix bugs, and ensure seamless integration between perception, planning, and control modules.
- Perception & Computer Vision: Improve sensor calibration, camera alignment, and 3D perception pipelines. Enhance object detection and segmentation performance for both simulation and real-world conditions.
- Motion Planning & Control: Develop and tune algorithms for coordinated base–arm motion, navigation, and trajectory planning in dynamic environments.
Position Details
- Duration: Minimum 1 year (8–16 h/week). Extension possible after 3 months.
- Type: Studentische Hilfskraft (HiWi) position.
Required Skills
- Strong programming skills in Python and C++
- Experience with ROS2 and Gazebo
- Basic understanding of computer vision, control theory, and motion planning
- Familiarity with deep learning frameworks (e.g., YOLO, segmentation models)
Application
Please send your CV, transcript of records, and a short motivation paragraph describing your relevant experience to:
panagiotis.petropoulakis@tum.de .
Bewertung von Mitarbeitenden
Gesamtbewertung
Basierend auf 315 BewertungenVorteile für Mitarbeitende
Unternehmenskultur
Unternehmenskultur
315 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Technische Universität München als ausgeglichen zwischen traditionell und modern.Der Branchen-Durchschnitt tendiert übrigens in Richtung modern