Traversability Estimation for Walking Robots

Research topic/area

Robotics and Deep Learning

Type of thesis

Bachelor / Master

Start time

-

Application deadline

31.07.2025

Duration of the thesis

3 - 8 Monate

Description

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. The central research question is how to estimate the traversability and terrain attributes of the environment in order to enhance the intelligent navigation capabilities of walking robots across diverse terrains.

Your Tasks and Research Challenges

• Literature research on state of the art
• Traversability estimation for walking robots
• Estimation of different terrain attributes
• Development and Implementation
• Create a concept to integrate changeable terrain attributes in simulation
• Design and implement methods to predict terrain attributes
• Deployment of methods on real robot
• Evaluation and Documentation
• Design and implement virtual and real experiments for evaluation
• 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

Requirement

Requirements for students

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

Faculty departments

• Engineering sciences
  Informatics
  Mechanical engineering
  Mechatronics & information technologies
  Other fields of study
  Engineering Education
  Mechanical Engineering
  Remote Sensing and Geoinformatics
  Information System Engineering and Management
• Economic & law sciences
  Information Engineering
  Business engineering
  Business management
  Other fields of study

Supervision

Title, first name, last name

M. Sc. Roberto Corlito

Organizational unit

IMI

Email address

roberto.corlito@kit.edu

Link to personal homepage/personal page

Website

Application via email

Application documents

• Curriculum vitae
• Grade transcript

E-Mail Address for application
Senden Sie die oben genannten Bewerbungsunterlagen bitte per Mail an roberto.corlito@kit.edu


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