CurrentlyInleiding Kunstmatige Intelligentie (2019 - ) - 1st year Bachelor AI
Information Revolutions (2020 - ) - honours Interdisplinair Bachelor
Media Understanding (2017) - 3th year Bachelor AI
Media Understanding (2017) - 3th year Bachelor AI
Running Bachelor projects
Finished Bsc-thesesMarlon de Jong, SLAM at the Katwijk beach, Bachelor thesis, Universiteit van Amsterdam, July 2020.
Carmen Veenker, Segmenting Continuous Gestures, Bachelor thesis, Universiteit van Amsterdam, July 2020.
Hidde Lekanne gezegd Deprez, Enhancing simulation images with GANs, Bachelor thesis, Universiteit van Amsterdam, July 2020.
Midas Amersfoort, Improving CNN classification performance for small datasets - Post-natural disaster building damage assessment from high-resolution satellite imagery, Bachelor thesis, Universiteit van Amsterdam, June 2020.
Jesper van Duuren, RoboCup Rescue Agent Simulation: Max-Sum as a Decentralized Solution to the Distributed Constraint Optimisation Problem with the use of the AIT-extension, Bachelor thesis, Universiteit van Amsterdam, January 2020.
Donald Nikkessen, Predicting the Visual Cortices Responses by Mixing Perceptual and Categorical Approaches, Bachelor thesis, Universiteit van Amsterdam, January 2020.
Anne-Ruth José Meijer, Simulating the human visual brain using deep neural networks, Bachelor thesis, Universiteit van Amsterdam, June 2019.
Jasper van Eck, NAO RoboCup: Classification of Sound Localization , Bachelor thesis, Universiteit van Amsterdam, June 2019.
Jeroen van Wely, Opponent Detection By Humanoid Robots For The RoboCup SPL Using Multi-scale Color Local Binary Patterns , Bachelor thesis, Universiteit van Amsterdam, June 2019.
Jimmy Badrie, Ball Localization in Humanoid Soccer using Machine Learning, Bachelor thesis, Universiteit van Amsterdam, February 2019.
Julian Main, Finding occluded animals from an aerial point of view, Bachelor thesis, Universiteit van Amsterdam, January 2019.
Tobias Garritsen, Using the Extended Information Filter for Localization of Humanoid Robots on a Soccer Field, June 2018.
Ruben van Heusden, Making a robot stop a penalty - Using Q Learning and Transfer Learning, June 2018.
Max Crous, Combining Weakly and Strongly Supervised Segmentation Methods for Wind Turbine Damage Annotation, June 2018.
Jonathan Gerbscheid, 'People detection on the Pepper Robot using Convolutional Neural Networks and 3D Blob detection', June 2017
Tirza Soute, 'Discovering Available Drinks Through Natural, Robot-Led, Human-Robot Interaction Between a Waiter and a Bartender', June 2017
Dion Oosterman, Improving automatic object detection performance for wildlife conservation drones, June 2016.
Robin Bakker, A Comparison of Decision Trees for Ingredient Classification, June 2016.
Mustafa Karaalioğlu Real-time 3-D Weighted Scan Matching with Octrees, August 2015.
Sébastien Negrijn RoCKIn @ Work Visual Servoing - Active vision using template matching on RGB-D sensor images, June 2015.
Areg Shahbazian Taking up the RoCKIn@Work Object Recognition Challenge With The Bag of Keypoints Approach, June 2015.
Ruben Seggers People Tracking in Outdoor Environments - Evaluating the Kinect 2 Performance in Different Lighting Conditions, June 2015.
Victor I.C. Hofstede The importance and purpose of simulation in robotics, June 2015.
Freddy de Greef A KUKA youBot simulation in USARSim, June 2015.
Duncan S. Ten Velthuis, Nao detection with a cascade of boosted weak classifier based on Haar-like features, July 2014.
Niels W. Backer, Horn And Whistle Recognition Techniques For NAO Robots, June 2014.
Fabian Voorter, A coaching robot in the Standard Platform League, June 2014.
Camiel R. Verschoor, Sensor Fusion on a mini Unmanned Vehicle. Integrating vision-based algorithms on an Parrot AR.Drone to autonomously follow linear shaped structures in a landscape. , July 2012.
Auke J. Wiggers, Recognizing Attack Patterns: Clustering of Optical Flow Vectors in RoboCup Soccer, June 2012.
Maarten P. de Waard, Combining RoboCup Rescue and XABSL, June 2012.
Sammie Katt, Introducing movements and animations to virtual victims in USARSim, June 2012.
Richard Rozeboom, Navigating using a radar sensor in USARSim, June 2012.
Robrecht Jurriaans, Flow based Obstacle Avoidance for Real World Autonomous Aerial Navigation Tasks, Universiteit van Amsterdam, August 2011.
Martijn van der Veen, Optimizing Artificial Force Fields for Autonomous Drones in the Pylon Challenge using Reinforcement Learning, Universiteit van Amsterdam, July 2011.
Olaf Zwennes, Adaptive Indoor Map Generator for USARSim, Universiteit van Amsterdam, June 2011.
Hessel van der Molen, Self-Localization in the RoboCup Soccer Standard Platform League with the use of a Dynamic Tree, Universiteit van Amsterdam, June 2011.
Chaim Bastiaan, Virtual victims in USARSim, Universiteit van Amsterdam, June 2010.
Niels Out, Virtual radar sensor for USARSim, Universiteit van Amsterdam, June 2010.
Rory Breuk, Learning by demonstration using physical manipulation of a robot model, Universiteit van Amsterdam, June 2009.
Quang Nguyen, A Color Based Range Finder for an Omnidirectional Camera, Universiteit van Amsterdam, June 2009.
Christiaan Walraven, Using path planning to grade the quality of a mapper, Universiteit van Amsterdam, June 2009.
Steven Roebert, Creating a bird-eye view map using an omnidirectional camera, June 2008.
Aksel Ethembabaoglu, Active target tracking using a mobile robot in the USARSim, June 2007.
B.A. Slamet, Attention Steering in Behavior-Based Vision, July 2005.
A. Abbo and S. Peelen, Progressive Deepening for GameTrees: An application for RoboRescue, June 2004.
C.A.M. Pieterse, Kleur invariantie voor de Robocup challenge - onderzoek naar een belichtings invariante methode voor object herkenning, June 2004.
ad-interim Chairman Verkenningscommissie Onderwijs 2 (2014-present) - werkgroep 2 = Life Science Informatics. Bachelorteam Artificial Intelligence
Masterteam Multimodal Intelligent Systems