Robotics Technology Symposium 2019


Event Details

Thursday January 24, 2019 from 10:00 AM to 6:00 PM
Auditorium, TU/e campus
TU/e High Tech Systems Center

*registration is closed*

Robotics is a rapidly growing field of research and development that is increasingly impacting our day-to-day lives and the way we do business with the creation of new products and services.

This trend is also visible in the sheer number and diversity of research groups, projects and activities that are pursued at Eindhoven University of Technology. Our research varies from the creation of highly autonomous vehicles (AGV’s, cars) to medical devices that enhance the surgeons capabilities and to social robots that are able to teach children with autism to recognize different kinds of human emotions.

As robots enter the human domain, developing a robotic system not only involves mechanics, electronics and computer sciences, but also introduces social interaction aspects and poses many ethical questions. Creating robotics systems, is a multi-disciplinary exercise by nature. The TU/e High Tech Systems Center plays a pivotal role in connecting and creating joint industry-university driven robotics research projects to create tomorrow’s technologies.

TU/e High Tech Systems Center welcomes you to the 2nd edition of the Robotics Technology Symposium that will be held on 24th of January 2019 (10 AM - 6 PM) in the Auditorium (Entrance 6 & 12) at the TU/e Campus. This event is dedicated to sharing our latest results in research, innovations and upcoming initiatives aimed to stimulate connections between industry representatives and university researchers.  



10.00 – 10.30    

Registration/ Tech Square

10.30 – 11.00     

Keynote 1 – Lazy Robotics René van de Molengraft 
TU/e Mechanical Engineering – Control Systems Technology

11.00 – 11.25    

Perceived Human – Likeness in Robotics  Peter Ruijten 
TU/e Industrial Engineering & Innovation Sciences - Human Technology Interaction

11.25 – 11.55     

Robotics Pitches from TU/e researchers

• Concrete Printing – a journey with destination unknown

Zeeshan Yunus Ahmed - PhD candidate
TU/e Built Environment - Material related Structural Design - Concrete Structures

• Holistic Scene Understanding using Deep Learning
Daan de Geus (PhD)
TU/e Electrical Engineering - Signal Processing Systems - Video Coding and Architectures

• Robots in the warehouse: working ‘with’ or ‘against’ the machine
Dr. Jilles Smids
TU/e Industrial Engineering & Innovation Sciences - Philosophy & Ethics

11.55 – 13.00    

Lunch/ Tech Square

13.00 – 13.45    

Keynote 2 – An overview of Research and Robotics at Google DeepMind Francesco Nori
Google Deepmind

13.45 – 14.10    

Robotics & AI – assisting surgeons with the impossible
Anupam Nayak MBA
Eindhoven Medical Robotics

14.10 – 15.00    

Break / Tech Square

15.00 – 15.30    

Enabling cloud robotics applications with 5G/Photonics
Dr. Chigo Okonkwo MSc
TU/e Electrical Engineering - Electro-Optical Communication

15.30 – 16.00    

Robotics Pitches from TU/e researchers

• Humans and robots understanding each other
Margot Neggers (PhD)
TU/e Industrial Engineering & Innovation Sciences - Human Technology Interaction

• 3D-printed Soft Robotics
Brandon Caasenbrood (PhD)
TU/e Mechanical Engineering - Dynamics & Control

• Closer to Nature: Interactive Installation Design with a Therapeutic Robot for Enhancing Positive Engagement in Seniors with dementia
Heqiu Song (PhD)
TU/e Industrial Design – Future Everyday

16.00 - 16.30     

Keynote 3 - Robotisation as rationalisation: The Problem of Dehumanisation Lambèr Royakkers
TU/e Industrial Engineering & Innovation Sciences - Philosophy & Ethics

16:30 - 18:00 Network drinks/ Tech Square



High Tech Systems

In next-generation high-tech and mechatronic systems, extreme functionalities and performance requirements will be realized by using a model-based multi-physics systems approach. New sensing technologies and actuator designs for multi-physics processes (forces, flows, temperatures, acoustics, optics) will need to be integrated with and used by distributed on-line model-based control and optimization tools. The control systems are adaptive, auto-tuned, are implemented in optimized hardware and software architectures, and use effective (wireless) communication.