PhD Pitches

Time: 15:00 - 16:00

1. RoBoSculpt: a robot for CNC bone milling surgery

Presenter: Ir. Jordan Bos
Research group: Control Systems Technology
Department: Mechanical Engineering
University: Eindhoven University of Technology

Healthcare can be improved by dedicated robotic systems. A new image-guided surgical robot, RoBoSculpt, can assist surgeons during complex bone removal procedures, helping more patients with less risks and better outcomes. Details will be given on the medical unmet needs and the mechanical design of RoBoSculpt as a solution, which is developed from scratch. The robot is developed for compactness, stability and submillimeter precision under load. The result is an advanced seven-axis robotic arm which can perform CNC bone milling surgery.

2. Real-time retina modelling for enhanced robot-assisted eye surgery

Presenter: Ir. Yanick Douven
Research group: Control Systems Technology
Department: Mechanical Engineering
University: Eindhoven University of Technology

Details will follow soon.

3. Collaborative robotics in precision farming

Presenter: Ir. Roy Cobbenhagen
Research group: Control Systems Technology
Department: Mechanical Engineering
University: Eindhoven University of Technology

The objective of precision farming is to device a control strategy that optimizes the quality and quantity of the yield whilst reducing used resources such as water, fertilizer and pesticides. A rapidly increasing amount of robots is used in precision farming in order to increase the resolution of both sensing and actuating.

Our work focuses on 1) how we can non-destructively sense and then 2) identify the state of the farmland such that 3) we can optimize the precision farming objective with a higher resolution and then 4) synthesize control laws for the multi-agent system from this global optimum. In this talk I will present an overview of this research. 

4. Electrodermal Activity: Explorations in the Psychophysiology of Engagement with Social Robots in Dementia

Presenter: Giulia Perugia MSc 
Research group: Human Technology Interaction
Department: Industrial Engineering & Innovation Sciences
University: Eindhoven University of Technology

The study of engagement is central to improve the quality of care and provide people with dementia with meaningful activities. Current assessment techniques of engagement for people with dementia rely exclusively on behavior observation. However, novel unobtrusive sensing technologies, capable of tracking psychological states during activities, can provide us with a deeper layer of knowledge about engagement. We compared the engagement of persons with dementia involved in two playful activities, a game-based cognitive stimulation and a robot-based free play, using observational rating scales and electro dermal activity (EDA). Results highlight significant differences in observational rating scales and EDA between the two activities and several significant correlations between the items of observational rating scales of engagement and affect, and EDA features. 

5. Self-Supervised Single-Sensor Data Fusion for Automated Driving

Presenter: Ir. Willem Sanberg
Research group: Video Coding & Architectures
Department: Electrical Engineering
University: Eindhoven University of Technology

Advanced Driver Assist Systems for intelligent vehicles require environment perception modules that are both robust and efficient. In our work, we explore how to exploit stereo camera vision for that goal, with a focus on free-space detection. We run different algorithms in parallel and experiment with fusing results over cues and over time in an efficient and elegant manner. Our strategy shows that the algorithms can boost each other's performance, even though they rely on the same data stream.