Semantic Mapping for Walking Robots

Forschungsthema/Bereich

Robotics and Deep Learning

Typ der Abschlussarbeit

Bachelor / Master

Startzeitpunkt

-

Bewerbungsschluss

31.07.2025

Dauer der Arbeit

3 - 8 Monate

Beschreibung

Advances in artificial intelligence and robotics are rapidly transforming how autonomous systems perceive, navigate, and interact with the world. These advances enable robots, e.g. walking robots, to perform complex tasks in challenging environments, by using sensor data for tasks such as path planning and navigation.

Walking robots use a number of different sensor modalities, e.g. Video and Lidar, typically in the form of images and 3D point clouds. This sensor data is used to perceive and navigate through the environment. To achieve this, data of different sensors has to be combined using sensor fusion to create a map of the environment. The key research question is how sensor data and environmental maps can be enriched with semantic information to enhance the intelligent navigation capabilities of walking robots across diverse environments.

Your Tasks and Research Challenges

• Literature research on state of the art
• SLAM (Simultaneous Localization and Mapping)
• Gaussian Splatting
• Semantic Costmaps
• Development and Implementation
• Select and implement of methods for semantic mapping
• Develop and analyze novel approaches or enhancements
• Evaluation and Documentation
• Design and implement pipelines to run experiments
• Evaluate and summarise your results in a thesis

What we offer at the Machine Intelligence and Robotics Lab!

• You'll get to learn a lot about our current research and gain some real hands-on experience
• We use the latest robotics hardware and the newest ML libraries, as well as tools like ISAAC Lab, ROS2, etc.
• We are a team of international, motivated robotics enthusiasts and would be happy to have you join us.
• You will get encouranging support from your supervisor and honest feedback to improve your skills
• We offer a great working environment in our MaiRo Lab

Voraussetzung

Voraussetzungen an Studierende

• Python
• Motivation to gain hands-on experience in robotics

Studiengangsbereiche

• Ingenieurwissenschaften
  Informatik
  Maschinenbau
  Mechatronik & Informationstechnik
  Sonstige Studienbereiche
  Ingenieurpädagogik
  Mechanical Engineering
  Remote Sensing and Geoinformatics
  Information System Engineering and Management
• Wirtschafts- und Rechtswissenschaften
  Wirtschaftsinformatik
  Technische Volkswirtschaftslehre
  Wirtschaftsingenieurwesen
  Sonstige Studienbereiche

Betreuung

Titel, Vorname, Name

M. Sc. Roberto Corlito

Organisationseinheit

IMI

E-Mail Adresse

roberto.corlito@kit.edu

Link zur eigenen Homepage/Personenseite

Website

Bewerbung per E-Mail

Bewerbungsunterlagen

• Lebenslauf
• Notenauszug

E-Mail Adresse für die Bewerbung
Senden Sie die oben genannten Bewerbungsunterlagen bitte per Mail an roberto.corlito@kit.edu


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