Accompanying seminar for Bachelor and Master thesis presentations

Final presentations of Bachelor and Master theses and talks given by guests will be announced on this website.

Upcoming talks:

• Beatriz Perez Cancer: Comparative Study of Machine Learning Based Methods for Affordance Detection, 21st of September at 11:00, Zoom meeting

Past talks:

• Rafael Materla: Simulation und Vorhersage des Ganges humanoider Roboter mit dem Pole-Cart Modell, 30th of August at 11:00, Zoom meeting

• Witali Rau: Nutzerpräferierte RoboterNavigation, 23rd of August at 11:30, Zoom meeting
• Björn Urban: RGB-D Image-based Velocity Estimation of Generic Objects, Donnerstag 24. Juni um 11:00 Uhr, Zoom meeting
• Jonas Walter: Evaluation eines k-kompetetiven Autoencoders anhand eines eigenen schlagzeilenbasierten Datensatzes, Mittwoch 28. April um 11:00 Uhr, Zoom meeting
• Paul Bryan Alexander Hinzen: Generating Polygonal Global Maps forMobile Robots from Consecutive PolygonalLocal Map Measurements in Realtime, Wednesday May 12th at 11:00am
• Hendrik Surmann: Influence of State Noise on Continuous Deep Reinforcement Learning, Mittwoch 31. März 2021 um 11:00 Uhr, Zoom meeting
• Nils Dengler: Online Object-Oriented Semantic Mapping and Map Updating with Modular Representations, Freitag 11. Dezember 2020 um 14:30 Uhr, Zoom meeting
• David Großklaus: Weight Analysis of Neural Networks in Deep Reinforcement Learning, Freitag 4. Dezember 2020 um 09 Uhr, Zoom meeting
• Kira Bungert: Untersuchung der menschlichen Wahrnehmung für die Interaktion mit Servicerobotern, Freitag 26. Juni 2020 um 15 Uhr, Zoom meeting
• Florian Seiler: Suche nach den k-kürzesten und schnellsten Pfaden in einer polygonalen Szene, Donnerstag den 18. Juni 2020 um 14 Uhr, Zoom meeting
• Robert Logiewa: Parallel Processing of RGB-D Data with a Busy Waiting Architecture, Wednesday, May 27th, 12:30pm, Zoom meeting
• Umashankar Deekshith: Local Navigation with Obstacle Avoidance Through Reinforcement Learning, Thursday December 19th, 3pm s.t., room 0.042
• Lukas Gesing: Proximal Policy Optimization for Navigation in Cluttered
  Environments, Wednesday, September 25th, 1pm, room 2.025
• Shiyuan Bian: Time-optimal trajectories of the SHM over multiple keyframes
  Wednesday, March 6th, 2pm, room 0.042
• Nils Dengler: Untersuchung des Einflusses von Augmentationen auf das Verhalten von Convolutional Neural Networks bei kleinen Datensätzen Friday, December 14, 11am in room 0.042
• Ibrahim Shareef: Optimizing Robot Trajectories Through Pedestrians Using A Neural Network
  Tuesday, September 11th, 2pm in room 0.042
• Arindam Roychoudhury: Dynamic Window Approach with Fresnel Integrals
  Friday, August 31st, 1pm in room 0.042
• Shuang Liang: Inverse Kinematics for the Unicycle Model Using the Inverse Jacobian
  Friday, August 31st, 11am in room 0.042
• Gerd Mund: Hüllkörperbasierte, parallelisierte Kollisionserkennung für geometrische Primitiven und das SHM
  28. May 2018, 14:00 s.t., Informatikzentrum, room 0.042
• Sandra Höltervennhoff: Von Deep Learning zum Schwertkampf 
  Friday, May 18th, at 9am in room 0.042
• Stephan Fuhrmann: Real-Time Object Tracking and Height Map Prediction in Dynamic Environments
  7. May 2018, 10:00 s.t., Informatikzentrum, room 0.042
• Thomas Gilles: Learning Objects Affordances for Robot Navigation
  Based on RGBD Data
  26 Apr. 18, 10:00 s.t. Informatikzentrum, room 0.042
• Ahmed Abdelbaki: ConvNet Features for Lifelong Place Recognition and Pose Estimation in Visual SLAM
  12 Mar 18, 13:30 s.t., Photogrammetry building, Nussallee 15, room 0.006
• Florian Kunze: Polygonale Segmentierung von RGB-D Sensordaten für Indoor Navigation in 2D
  31 Jan 17, 13:00 s.t., room I.42 (LBH)
• Rasha Sheikh: Design and Evaluation of an RGB-D Feature Descriptor for SLAM
  23 Nov 17, 09:30 s.t., room I.42 (LBH)