3 papers
cs.AI2020
An End-to-End Learning Approach for Trajectory Prediction in Pedestrian Zones
Ha Q. Ngo, Christoph Henke, Frank Hees
This paper aims to explore the problem of trajectory prediction in heterogeneous pedestrian zones, where social dynamics representation is a big challenge. Proposed is an end-to-en…
cs.RO2018
Learning Robust Manipulation Skills with Guided Policy Search via Generative Motor Reflexes
Philipp Ennen, Pia Bresenitz, Rene Vossen +1
Guided Policy Search enables robots to learn control policies for complex manipulation tasks efficiently. Therein, the control policies are represented as high-dimensional neural n…
cs.CY2018
Request for Comments: Proposal of a Blockchain for the Automatic Management and Acceptance of Student Achievements
Thorsten Sommer, Gergana Deppe, Valerie Stehling +2
Staying abroad during their studies is increasingly popular for students. However, there are various challenges for both students and universities. One important question for stude…