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Dr. ir. Joost Venrooij

 

Picture of Venrooij, Joost, Dr. ir.

Joost Venrooij

Position: Project Leader  Unit: Alumni Bülthoff

Project leader Motion Perception and Simulation research group

I am co-leading the Motion Perception and Simulation research group. In this group, we are investigating the process of human self-motion perception and how this knowledge can be exploited in motion simulation. We do fundamental research into perceptual psychophysics and perceptual modelling, as well as more applied studies into motion cueing and control behavavior in simulation environments. For more details about our activities, please visit our page.

 

I am also leading the Cybernetics Approach to Perception and Action research group. Within this group, we use the principles of cybernetics, control theory and system identification to further our understanding of human manual control. In particular, we investigate haptic support systems, neuromuscular identification methods and helicopter augmentation systems. For more details, please visit our page.

 

I obtained my B.Sc. and M.Sc. in Aerospace Engineering from Delft University of Technology. Between 2010 and 2014, I have been working in a collaborative research project between Delft University of Technology and Max Planck Institute for Biological Cybernetics, resulting in a PhD for my work on Biodynamic Feedthrough. Since April 2013, I work as project leader of the Motion Perception and Simulation research group and since July 2015 as project leader of the Cybernetics Approach to Perception and Action research group. My research interstest include: motion perception, motion cueing, biodynamic interferences, neuromuscular modeling, and haptics. On these pages, you can find my Curriculum Vitae and publication list.

 

ORC-ID: 0000-0002-5133-2625

Scopus author ID: 35323243000

WABS: Perception-based motion simulation

WABS: Perception-based motion cueing

Duration: December 2011 - November 2014


Within the WABS project („Wahrnehmungsbasierte Bewegungssimulation“) we developed a novel approach to motion cueing. Motion cueing is the process of converting a desired physical motion into motion simulator input commands. As a motion simulator is limited to move within a confined space, the desired physical motion can typically not be reproduced fully by the simulator. Successful simulation therefore requires motion cueing ‘tricks’, which are implemented in a so-called motion cueing algorithm (MCA).

Within the WABS project, we developed a perception-based motion cueing (PBMC) approach. A key difference with the traditional approaches to motion cueing is that PBMC operates by optimizing the simulator input commands based on the output of a model of human self-motion perception. This approach increases the realism and quality of motion simulations by exploiting the limitations and ambiguities of the human perceptual system.

 

I joined the WABS project in April 2013, in the role as project leader. Next to general management duties, I contributed to the PBMC algorithm development, experiment execution and the analysis of experimental results.

 

More about WABS


Figure 1: Schematic representation of the perception-based motion cueing approach (PBMC)

Figure 1: Schematic representation of the perception-based motion

cueing approach (PBMC) [Venrooij et al., DSC 2015 Europe].

 

myCopter: Enabling technologies for Personal Aerial Transporation Systems

myCopter

Duration: January 2011 - December 2014

 

The existing problem of traffic congestion, combined with its anticipated growth, presents a major challenge for future societal mobility and economic growth. A promising solution that combines the best of air- and ground-based transportation is to establish a personal aerial transportation system (PATS) based on Personal Aerial Vehicles (PAVs). This presents new challenges with both technological and societal concerns. The myCopter project investigated the idea of a PATS based on small PAVs, for short distance commuting between home and the workplace. Such vehicles are expected to take off and land vertically, allowing their use in densely populated areas. The aim of myCopter was to determine the social and technical aspects needed to set up a transportation system based on PAVs in today’s society.

 

The outcomes of this project provide a stepping stone for future endeavours aimed at moving personal transportation into the third dimension. The project has demonstrated that a PATS can become a reality, given appropriate technological advancements and socio-technological considerations.

 

I contributed to the myCopter project from January 2011 to June 2013 with my work on Biodynamic Feedthrough in PAVs. The results of this work are described in Project Deliverable D3.3: Results of BDFT modelling for controlling a PAV.

 

More about myCopter


Ph.D. Project: Measuring, modeling and mitigating biodynamic feedthrough

Measuring, modeling and mitigating biodynamic feedthrough

Duration: February 2010 - March 2014


Vehicle accelerations affect the human body in various ways. In some cases, accelerations cause involuntary motions of limbs like arms and hands. If someone is engaged in a manual control task at the same time, these involuntary limb motions can lead to involuntary control forces and control inputs. This phenomenon is called biodynamic feedthrough (BDFT).

 

The control of many different vehicles is known to be vulnerable to BDFT effects, such as that of helicopters, aircraft, electric wheelchairs and hydraulic excavators. It is also known that BDFT dynamics depend on vehicle dynamics and control device dynamics, but also on factors such as seating dynamics, disturbance direction, disturbance frequency and the presence of seat belts and arm rests. The most complex and influential factor in BDFT is the human body. It is through the human body dynamics that the vehicle accelerations are transferred into involuntary limb motions and, consequently, into involuntary control inputs. Human body dynamics vary between persons with different body sizes and weights, but also within one person over time. This renders BDFT a variable dynamical relationship, not only varying between different persons (between-subject variability), but also within one person over time (within-subject variability).

 

The goal of the research was to increase the understanding of BDFT to allow for effective and efficient mitigation of the BDFT problem. The work dealt with several aspects of biodynamic feedthrough, but focused on the influence of the variable neuromuscular dynamics on BDFT dynamics. The research approach consisted of three parts: first, a method was developed to accurately measure BDFT. Then, several BDFT models were developed that describe the BDFT phenomenon. Finally, using the insights from the previous steps, a novel approach to BDFT mitigation was proposed.

 

The result of the first phase was a measurement method, capable of accurately and simultaneously measuring BDFT and neuromuscular admittance (a measure of the neuromuscular dynamics of the human arm). Based on validation experiments, it was concluded that there exists a strong dependency of BDFT dynamics on neuromuscular admittance. Furthermore, a comprehensive set of definitions, nomenclature and mathematical notations was developed. This framework for BDFT analysis provides a common ground to study, discuss and understand BDFT and its related problems.

The first results of the second phase was a physical BDFT model, which models the physical occurrence of BDFT. The model serves primarily the purpose of increasing the understanding of the relationship between neuromuscular admittance and biodynamic feedthrough. Also, a mathematical BDFT model was developed. The mathematical model is easier to implement and use than its physical counterpart. Both models have shown to be highly accurate.

In the third phase possible BDFT mitigation approaches were identified. The mitigation effectiveness of a widely-used hardware component was experimentally studied: an armrest. The results show that an armrest is an effective tool in mitigating biodynamic feedthrough. Finally, a novel approach to BDFT mitigation was proposed and validated: admittance-adaptive model-based signal cancellation. What differentiates this approach from other approaches is that it accounts for adaptations in the neuromuscular dynamics of the human body. The approach was tested, as proof-of-concept, in an experiment. Results show that the cancellation approach was successful and largely removed the negative effects of BDFT on the control effort and control performance.

 

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BDFT diagram

Figure 2: Biodynamic feedthrough (BDFT) occurs when vehicle accelerations feed through the human body, causing involuntary control forces and involuntary control inputs (indicated in blue). One way of mitigating BDFT is to use a BDFT controller that models and cancels the involuntary inputs (indicated in red).

Joost Venrooij

Joost Venrooij is project leader of the Motion Perception and Simulation research group and the Cybernetics Approach to Perception and Action research group at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. His research interests include motion perception, motion cueing, biodynamic interferences, neuromuscular modeling, and haptics.

 

Full CV available upon request.

 

Current position

Since July '15 Project leader of the Cybernetics Approach to Perception and Action research group at Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany
Since April '13 Project leader of the Motion Perception and Simulation research group at Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany

Education

Dec '10 - Mar '14

Ph.D. Candidate at Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany (in co-operation with Delft University of Technology)
Thesis title: Measuring, modeling and mitigating biodynamic feedthrough

Feb '10 - Mar '14 Ph.D. Candidate at Delft University of Technology, Delft, The Netherlands (in co-operation with Max-Planck-Institute for Biological Cybernetics)
Thesis title: Measuring, modeling and mitigating biodynamic feedthrough
Sep '06 - Aug '09 Master of Science (M.Sc.) in Aerospace Engineering, Delft University of Technology, Delft, The Netherlands.
Thesis title: Relating biodynamic feedthrough to neuromuscular admittance
Sep '02 - Aug '06 Bachelor of Science (B.Sc.) in Aerospace Engineering , Delft University of Technology, Delft, The Netherlands.

 

Experience

Nov '09 - Jan '10 Research employee at Entropy Control Inc., La Jolla (San Diego), California, USA.
I worked on an independent research project about internal modeling in car driving tasks, for which I designed, executed, and analyzed various driving experiments. I investigated how drivers build a mental representation of steering dynamics, and what the impact of varying steering dynamics is on control performance.
Dec '07 - May '08 Research Internship at Eurocopter GmbH , Ottobrunn, Germany.
I worked in the Dynamics and Vibrations department, where I investigated the employment of trailing edge flaps to reduce pitch link forces.
Sep '07 - Nov '07 Research Internship at Entropy Control Inc., La Jolla (San Diego), California, USA.
I worked on haptic feedback systems and autonomous curve negotiation. The controller that I developed used various visual cues to mimic human steering behavior. Furthermore, I was responsible for setting up a fixed-base driving simulator with hardware provided by Nissan Motor Co., Ltd.

 

Honors and awards

Dec '14 Winner of the Best Dissertation Award 2014 from the Max-Planck-Institut für biologische Kybernetik and Förderverein für neurowissenschaftliche Forschung e.V. This award is yearly awarded for the best Ph.D. dissertation of the Max Planck Institute for Biological Cybernetics.
Mar '14 Received Ph.D. degree cum laude (German equivalent: summa cum laude), which is the highest distinction.
Sep '12 Nominated for best paper award at the 38th European Rotorcraft Forum
Paper: A practical biodynamic feedthrough model for helicopters
Sep '11 Among the first students appearing on the TU Delft Wall of Fame, which features students of Delft University of Technology with exceptional achievements during or after their studies.
TU Delft Wall of Fame
Oct '10 Best Student Paper Award at the IEEE International Conference on Systems, Man, and Cybernetics, for the best student paper and oral presentation.
Paper: Biodynamic feedthrough is task dependent
Dec '09 NVvL award for best aeronautical M.Sc. thesis awarded by the Netherlands Association of Aeronautical Engineers.
Thesis: Relating biodynamic feedthrough to neuromuscular admittance
Aug '09 Received M.Sc. degree cum laude (German equivalent: summa cum laude), which is the highest distinction.

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Books (1):

Venrooij J: Measuring, modeling and mitigating biodynamic feedthrough, 440, Logos Verlag, Berlin, Germany, (2015). ISBN: 978-3-8325-4105-7, Series: MPI Series in Biological Cybernetics ; 45

Articles (13):

Geluardi S, Venrooij J, Olivari M, Bülthoff HH and Pollini L (October-2017) Transforming Civil Helicopters into Personal Aerial Vehicles: Modeling, Control, and Validation Journal of Guidance, Control, and Dynamics 40(10) 2481-2495.
Geluardi S, Nieuwenhuizen FM, Venrooij J, Pollini L and Bülthoff HH (July-2017) Frequency Domain System Identification of a Robinson R44 in Hover Journal of the American Helicopter Society . accepted
Cleij D, Venrooij J, Pretto P, Katliar M, Bülthoff HH, Steffen B, Hoffmeyer FW and Schöner H-P (May-2017) Comparison between filter- and optimization-based motion cueing algorithms for driving simulation Transportation Research Part F: Traffic Psychology and Behaviour Epub ahead.
Venrooij J, Mulder M, Mulder M, Abbink DA, van Paassen MM, van der Helm FCT and Bülthoff HH (September-2016) Admittance-Adaptive Model-Based Approach to Mitigate Biodynamic Feedthrough IEEE Transactions on Cybernetics Epub ahead.
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Olivari M, Nieuwenhuizen F, Venrooij J, Bülthoff HH and Pollini L (December-2015) Methods for Multiloop Identification of Visual and Neuromuscular Pilot Responses IEEE Transactions on Cybernetics 45(12) 2780 - 2791.
Venrooij J, van Paassen MM, Mulder M, Abbink DA, van der Helm FCT and Bülthoff HH (September-2014) A Framework for Biodynamic Feedthrough Analysis Part I: Theoretical Foundations IEEE Transactions on Cybernetics 44(9) 1686-1698.
Venrooij J, van Paassen MM, Mulder M, Abbink DA, Mulder M, van der Helm FCT and Bülthoff HH (September-2014) A Framework for Biodynamic Feedthrough Analysis Part II: Validation and Application IEEE Transactions on Cybernetics 44(9) 1699-1710.
Venrooij J, Abbink DA, Mulder M, van Paassen MM, van der Helm FCT and Bülthoff HH (July-2014) A Biodynamic Feedthrough Model Based on Neuromuscular Principles IEEE Transactions on Cybernetics 44(7) 1141-1154.
Venrooij J, Mulder M, Abbink DA, van Paassen MM, Mulder M, van der Helm FCT and Bülthoff HH (July-2014) Mathematical Biodynamic Feedthrough Model Applied to Rotorcraft IEEE Transactions on Cybernetics 44(7) 1025-1038.
Venrooij J, Pavel MD, Mulder M, van der Helm FCT and Bülthoff HH (December-2013) A practical biodynamic feedthrough model for helicopters CEAS Aeronautical Journal 4(4) 421-432.
Quaranta G, Masarati P and Venrooij J (September-2013) Impact of pilots’ biodynamic feedthrough on rotorcraft by robust stability Journal of Sound and Vibration 332(20) 4948–4962.
Venrooij J, Mulder M, Abbink DA, van Paassen MM, van der Helm FCT and Bülthoff HH (February-2013) A New View on Biodynamic Feedthrough Analysis: Unifying the Effects on Forces and Positions IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 43(1) 129-142.
Venrooij J, Abbink DA, Mulder M, van Paassen MM and Mulder M (August-2011) A Method to Measure the Relationship Between Biodynamic Feedthrough and Neuromuscular Admittance IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 41(4) 1158-1169.

Conference papers (26):

Olivari M, Pretto P, Venrooij J and Bülthoff HH (September-7-2017) Defining the Kinematic Requirements for a Theoretical Driving Simulator, DSC 2017 Europe: Driving Simulation Conference & Exhibition, -.
Gerboni CA, Geluardi S, Venrooij J, Joos A, Fichter W and Bülthoff HH (January-2017) Development of model-following control laws for helicopters to achieve personal aerial vehicle's handling qualities, AIAA Modeling and Simulation Technologies Conference: Held at the AIAA SciTech Forum 2017, Curran, Red Hook, NY, USA, 484-499.
D'Intino G, Olivari M, Geluardi S, Venrooij J, Pollini L and Bülthoff HH (January-2017) Experimental evaluation of haptic support systems for learning a 2-DoF tracking task, AIAA Modeling and Simulation Technologies Conference: Held at the AIAA SciTech Forum 2017, Curran, Red Hook, NY, USA, 366-375.
D'Intino G, Olivari M, Geluardi S, Venrooij J, Innocenti M, Bülthoff HH and Pollini L (October-2016) Evaluation of Haptic Support System for Training Purposes in a Tracking Task, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), IEEE, Piscataway, NJ, USA, 002169-002174.
Venrooij J, Cleij D, Katliar M, Pretto P, Bülthoff HH, Steffen D, Hoffmeyer FW and Schöner H-P (September-8-2016) Comparison between filter- and optimization-based motion cueing in the Daimler Driving Simulator, DSC 2016 Europe: Driving Simulation Conference & Exhibition, 31-38.
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Venrooij J, Olivari M and Bülthoff HH (August-2016) Biodynamic Feedthrough: Current Status and Open Issues, 13th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (HMS 2016), Elsevier, Frankfurt a.M., Germany, IFAC-PapersOnLine, 49(19), 120–125.
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Lächele J, Venrooij J, Pretto P and Bülthoff HH (May-2016) Effects of vehicle- and task-related motion feedback on operator performance in teleoperation In: Leveraging Emerging Technologies for Future Capabilities, , 72nd American Helicopter Society International Annual Forum (AHS 2016), Curran, Red Hook, NY, USA, 3310-3316.
Gerboni CA, Venrooij J, Nieuwenhuizen FM, Joos A, Fichter W and Bülthoff HH (January-2016) Control Augmentation Strategies for Helicopters used as Personal Aerial Vehicles in Low-speed Regime, AIAA Modeling and Simulation Technologies Conference: Held at the AIAA SciTech Forum 2016, Curran, Red Hook, NY, USA, 1002-1012.
Olivari M, Venrooij J, Nieuwenhuizen FM, Pollini L and Bülthoff HH (January-2016) Identifying Time-Varying Pilot Responses: A Regularized Recursive Least-Squares Algorithm, AIAA Modeling and Simulation Technologies Conference: Held at the AIAA SciTech Forum 2016, Curran, Red Hook, NY, USA, 385-399.
Masarati P, Quaranta G, Zaichik L, Yashin Y, Desyatnik P, Pavel MD, Venrooij J and Smaili H (October-2015) Biodynamic Pilot Modelling for Aeroelastic A/RPC, 39th European Rotorcraft Forum (ERF 2013), Curran, Red Hook, NY, USA, 497-501.
Cleij D, Venrooij J, Pretto P, Pool DM, Mulder M and Bülthoff HH (September-2015) Continuous rating of perceived visual-inertial motion incoherence during driving simulation, DSC 2015 Europe: Driving Simulation Conference & Exhibition, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 191-198.
Katliar M, de Winkel KN, Venrooij J, Pretto P and Bülthoff HH (September-2015) Impact of MPC Prediction Horizon on Motion Cueing Fidelity, DSC 2015 Europe: Driving Simulation Conference & Exhibition, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 219-222.
Lächele J, Venrooij J, Pretto P, Zell A and Bülthoff HH (September-2015) Novel approach for calculating motion feedback in teleoperation, 7th European Conference on Mobile Robots (ECMR 2015), IEEE, Piscataway, NJ, USA, 1-6.
Venrooij J, Pretto P, Katliar M, Nooij SAE, Nesti A, Lächele M, de Winkel KN, Cleij D and Bülthoff HH (September-2015) Perception-based motion cueing: validation in driving simulation, DSC 2015 Europe: Driving Simulation Conference & Exhibition, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 153-161.
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Venrooij J, Mulder M, Abbink DA, van Paassen MM, Mulder M, van der Helm FCT and Bülthoff HH (October-2014) Admittance-adaptive model-based cancellation of biodynamic feedthrough, IEEE International Conference on Systems, Man and Cybernetics (SMC 2014), IEEE, Piscataway, NJ, USA, 1946-1951.
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Lächele J, Venrooij J, Pretto P and Bülthoff HH (May-2014) Motion Feedback Improves Performance in Teleoperating UAVs, 70th American Helicopter Society International Annual Forum (AHS 2014), Curran, Red Hook, NY, USA, 1777-1785.
Venrooij J, Pavel MD, Mulder M, van der Helm FCT and Bülthoff HH (July-2013) A practical biodynamic feedthrough model for helicopters, 38th European Rotorcraft Forum (ERF 2012), Curran, Red Hook, NY, USA, 842-854.
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Venrooij J, Mulder M, van Paassen MM, Abbink DA, van der Helm VCT, M Mulder and Bülthoff HH (October-2012) How effective is an armrest in mitigating biodynamic feedthrough?, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2012), IEEE, Piscataway, NJ, USA, 2150-2155.
Olivari M, Nieuwenhuizen FM, Venrooij J, Bülthoff HH and Pollini L (August-2012) Multi-loop Pilot Behavior Identification in Response to Simultaneous Visual and Haptic Stimuli, AIAA Modeling and Simulation Technologies Conference 2012, Curran, Red Hook, NY, USA, 892-914.
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Venrooij J, Yilmaz D, Pavel MD, Quaranta G, Jump M and Mulder M (May-2012) Measuring biodynamic feedthrough in helicopters, 37th European Rotorcraft Forum (ERF 2011), Curran, Red Hook, NY, USA, 958-967.
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Quaranta G, Masarati P and Venrooij J (May-2012) Robust Stability Analysis: a Tool to Assess the Impact of Biodynamic Feedthrough on Rotorcraft, 68th American Helicopter Society International Annual Forum (AHS 2012), Curran, Red Hook, NY, USA, 1306-1315.
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Venrooij J, Mulder M, van Paassen MM, Abbink DA, Bülthoff HH and Mulder M (October-2011) Cancelling biodynamic feedthrough requires a subject and task dependent approach, IEEE International Conference on Systems, Man and Cybernetics (SMC 2011), IEEE, Piscataway, NJ, USA, 1670-1675.
Venrooij J, Abbink DA, Mulder M, van Paassen MM and Mulder M (October-2010) Biodynamic feedthrough is task dependent, IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), IEEE, Piscataway, NJ, USA, 2571-2578.
Venrooij J, van Paassen MM, Mulder M, Abbink DA and Mulder M (September-2010) A review of biodynamic feedthrough mitigation techniques, 11th IFAC, IFIP, IFORS, IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, Curran, Red Hook, NY, USA, IFAC Proceedings Volumes, 43(13), 316-321.
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Venrooij J, Abbink DA, Mulder M, van Paassen MM and Mulder M (April-2010) Understanding the role of the neuromuscular dynamics in biodynamic feedthrough problems, VI Pegasus - AIAA Student Conference 2010, 1-11.
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Venrooij J, Mulder M, van Paassen MM, Abbink DA and Mulder M (October-2009) Relating biodynamic feedthrough to neuromuscular admittance, IEEE International Conference on Systems, Man and Cybernetics (SMC 2009), IEEE, Piscataway, NJ, USA, 1668-1673.

Contributions to books (1):

Pretto P, Venrooij J, Nesti A and Bülthoff HH: Perception-Based Motion Cueing: A Cybernetics Approach to Motion Simulation, 131-152. In: Recent Progress in Brain and Cognitive Engineering, (Ed) S.-W. Lee, Springer, Dordrecht, The Netherlands, (2015).

Posters (1):

Symeonidou ER, Olivari M, Venrooij J, Bülthoff HH and Chuang LL (November-13-2016): EEG oscillatory modulations (10-12 Hz) discriminate for voluntary motor control and limb movement, 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), San Diego, CA, USA.

Theses (2):

Venrooij J: Measuring, modeling and mitigating biodynamic feedthrough, Technische Universiteit Delft, The Netherlands, (March-21-2014). PhD thesis
Venrooij J: Relating biodynamic feedthrough to neuromuscular admittance, Technische Universiteit Delft: Faculty of Aerospace Engineering, The Netherlands, (August-2009). Master thesis

Talks (10):

Bülthoff HH and Venrooij J (June-22-2016) Invited Lecture: Personal Aerial Vehicles: the next big game-changer?, Brains, Minds and Machines Workshop 2016, Sestri Levante, Italy.
Bülthoff HH and Venrooij J (April-14-2016) Invited Lecture: Mycopter – Personal Aerial Vehicles: the next big game-changer?, EASA-OPTICS Safety Conference: Do Politics and Safety mix well?, Köln, Germany.
Venrooij J and Bülthoff HH (March-9-2016) Invited Lecture: myCopter: Enabling Technologies for Personal Aerial Transportation Systems, On-Demand Mobility and Emerging Technology Joint NASA-FAA Workshop, Arlington, VA, USA.
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Venrooij J and Bülthoff HH (October-21-2015) Invited Lecture: myCopter: Enabling Technologies for Personal Aerial Transportation Systems, Seventh European Aeronautics Days 2015: Aviation in Europe - Innovating for Growth (Aerodays 2015), London, UK.
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Cleij D, Venrooij J, Pretto P, Pool DM, Mulder M and Bülthoff HH (September-7-2015) Invited Lecture: Continuous Measurement of Perceived Visual/Inertial Motion Coherence in a Motion Simulator, 5th CEAS Air & Space Conference, Delft, The Netherlands.
Venrooij J (October-10-2014) Invited Lecture: The human body in motion: Research at the Max Planck Institute for Biological Cybernetics, NASA Ames Research Center, Moffet Field, CA, USA.
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Last updated: Monday, 22.05.2017