The research of Mechatronics Research Group translates scientific knowledge into new technologies and innovations for industry. Through the clustering of projects, the program lines of the lectorate have been created over the years. The demand-driven research lines are dynamic in nature due to the method used.
Key aspects taken into account while defining the core technological building blocks:
- Current trends and state-of-the-art;
- Possibility to claim unique position in the knowledge chain;
- Availability of expertise (competence);
- Applicability of technology for various application domains
We work on our projects with different companies and knowledge institutes. An overview of all partners we work with can be found on this page.
- Unmanned Robotic Systems - This research (integration) line is primarily aimed at accelerating innovations in the field of unmanned robotic systems that have a positive impact on human lives.
- Smart Industrial Robots - This research (integration) line mainly focuses on production machines and robots.
Click on the integration lines below to see our different projects.
- Sensing & Perception: Sensor modelling, calibration, fusion object localization, quality control, classification and tracking.
Unmanned Robotic Systems: robust multimodal and infrastructureless localization in indoor and outdoor environments.
Smart Industrial Robots: vision-based robust identification, classification, quality control and target localization.
- Control & Manipulation: kinematic/dynamic interaction, optimal/robust path planning and control.
Unmanned Robotic Systems: interaction (passive as well as active) control with external environment wherein significant disturbance is environment.
Smart Industrial Robots: constrained path planning and target manipulation.
- Cognition & AI: machine learning, deep learning, (un)supervised learning and reinforcement learning.
Unmanned Robotic Systems: high fidelity dynamic simulation and reinforcement learning for safe navigation (localization, mapping and planning).
Smart Industrial Robots: data driven reinforcement learning and robust object detection and classification.
- SE, MECHA, Software:
Unmanned Robotic Systems: collaborative/autonomous systems.
Smart Industrial Robots: cobots.