Awards

−        National ICT award small business 2004

−        National insurance innovation award 2015

−        FIA road safety innovation award 2016

−        Dutch driving school innovation award 2017

Expertise

−        3D simulation / virtual reality

−        Procedural training & assessment of traffic participants

−        Cognitive psychology: skills acquisition – erosion of skills – information processing – faults & errors – transfer & retention –­ risk mitigation

−        Robotics: design & development & integration of hardware, software, sensors and communication for automated driving

−        Scientific research: PhD level, coordinator of academic research

−        Management: Initiator, leader, motivator, problem solver, pertinacious

−        Personality: visionary, honest, workaholic, stress resistant, creative, sportive

Social responsibility:

−        Reduction in accident involvement of young car drivers

−        Environmental friendly driver training 

R&D focus: assessment of human and robot behavior

A valid assessment methodology for human and robots is necessary to lower accidents and accelerate the use of robots in uncontrolled dynamic systems, like transport in the public domain. To insure the stability of dynamic system reliable classification of the operating skills of intelligent systems is needed.

The frequency of (fatal) system errors will increase when robots are released without proper assessment. Another issue is the decrease of human skills as a result of the replacement with robots. This phenomena, erosion-of-skills due to automation, occurred after introduction of the auto-pilot in airplanes and resulted in increase of (fatal) accidents. Continues analysis of data produced by human or robot drivers will give insight in acquisition or erosion of driving skills.

Till now driving skills were not a topic of the assessment of vehicles. The traditional assessment methodology that leads to European type approval is suitable for SAE level 2. Meaning that there is no permission for use of self-driving vehicles in Europe. Only temporary permissions for testing are available. The Dutch Road Authority (RDW) challenged robotTUNER to develop an assessment method for self-driving vehicles. They forecast that European type-approval will take 10 years. An industrial standard for assessment of self-driving vehicles will speed up the process of European type approval.

Biography

−        Founder and CTO of robotTUNER (2016)

•          tuning of cooperative robots

•          certification of auto-pilot software

−        Founder and CTO of Green Dino (1992)

•          autonomous platform for driver training and assessment

•          artificial Intelligence, big data and 3D simulation

−        Vice president and treasurer of the Dutch Academy of Technology & Innovation

•          Chairman of the advise committee for the Ministry of Economic Affairs:

 report ‘Professionalization of the golden triangle'

 report ‘let a thousand flowers bloom’

−        Guest researcher - University of Twente - COGNITION, DATA AND EDUCATION - Department of Learning, Data analytics and Technology - Faculty of Behavioural, Management and Social Sciences

•          Automated training and assessment / optimization of learning curves .

−        PhD candidate - Delft University of Technology - CONTROL & SIMULATION - Department Control & Operations - Faculty of Aerospace Engineering

•          System architecture for autonomous training and assessment based on cognitive psychology.

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