Die KI-Suchmaschine für Jobs
Masterthesis - Model Predictive Path Following with System Identification and Wheel Slip Estimation(m/w/x)
Beschreibung
In this master's thesis role, you will focus on enhancing mobile robot navigation by developing a model predictive controller that accounts for surface slip effects. Your work will involve the analysis, integration, validation, and comparison of navigation systems in real-world scenarios.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Field of study in robotics, cybernetics, computer science, mechanical engineering, mechatronics, or comparable
- •Valid enrollment at a German university in robotics, cybernetics, computer science, mechanical engineering, mechatronics, or similar fields
- •Knowledge of predictive or model-based control
- •Experience with ROS
- •Analytical thinking skills
- •Enthusiasm for mobile robotics
- •Fluency in English or German
Ausbildung
Aufgaben
- •Analyze the existing navigation stack
- •Extend system identification to include slip effects
- •Derive a parameterized vehicle model from manual drives
- •Consider different surfaces like sand, asphalt, grass, and gravel
- •Develop and tune a model predictive controller (MPC)
- •Integrate the MPC into an existing ROS2 environment
- •Validate the system in simulation within ROS2
- •Test on developed robots
- •Compare performance with existing controllers regarding path error and stability
- •Document and evaluate results scientifically
Sprachen
Englisch – verhandlungssicher
Deutsch – verhandlungssicher
Benefits
Moderne Technikausstattung
- •Cutting-edge technology
Abwechslungsreiche Aufgaben
- •Practical work with robots
Sinnstiftende Arbeit
- •Responsibility and freedom
Sonstige Vorteile
- •Collaboration with top students
- Fraunhofer-GesellschaftVollzeitnur vor OrtKeine AngabeStuttgart
- Fraunhofer-Gesellschaft
Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Multi-session global traversability Mapping for Autonomous Outdoor Navigation(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart
Masterthesis - Model Predictive Path Following with System Identification and Wheel Slip Estimation(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this master's thesis role, you will focus on enhancing mobile robot navigation by developing a model predictive controller that accounts for surface slip effects. Your work will involve the analysis, integration, validation, and comparison of navigation systems in real-world scenarios.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Field of study in robotics, cybernetics, computer science, mechanical engineering, mechatronics, or comparable
- •Valid enrollment at a German university in robotics, cybernetics, computer science, mechanical engineering, mechatronics, or similar fields
- •Knowledge of predictive or model-based control
- •Experience with ROS
- •Analytical thinking skills
- •Enthusiasm for mobile robotics
- •Fluency in English or German
Ausbildung
Aufgaben
- •Analyze the existing navigation stack
- •Extend system identification to include slip effects
- •Derive a parameterized vehicle model from manual drives
- •Consider different surfaces like sand, asphalt, grass, and gravel
- •Develop and tune a model predictive controller (MPC)
- •Integrate the MPC into an existing ROS2 environment
- •Validate the system in simulation within ROS2
- •Test on developed robots
- •Compare performance with existing controllers regarding path error and stability
- •Document and evaluate results scientifically
Sprachen
Englisch – verhandlungssicher
Deutsch – verhandlungssicher
Benefits
Moderne Technikausstattung
- •Cutting-edge technology
Abwechslungsreiche Aufgaben
- •Practical work with robots
Sinnstiftende Arbeit
- •Responsibility and freedom
Sonstige Vorteile
- •Collaboration with top students
Über das Unternehmen
Fraunhofer-Gesellschaft
Branche
Research
Beschreibung
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
- Fraunhofer-Gesellschaft
Masterthesis - Reinforcement Learning approach for path following and base control(m/w/x)
Vollzeitnur vor OrtKeine AngabeStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Multi-session global traversability Mapping for Autonomous Outdoor Navigation(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart