Ongoing IP Projects

TopicStudentsAdviser
Combining Self-Paced Learning and Intrinsic Motivationulla.scheler@stud.tu-darmstadt.de, niehues.tobias@gmail.comTobias Niehues, Ulla SchelerPascal Klink
Learning Behavior Trees from Videosaljoscha.schmidt@stud.tu-darmstadt.de, adrian.worringpozo@stud.tu-darmstadt.de, johannes.heeg@stud.tu-darmstadt.deJohannes Heeg, Aljoscha Schmidt and Adrian WorringSuman Pal, Lisa Scherf
Learning Decisions by Imitating Human Control Commandsjonas.guenster@gmx.de, manuel.senge@web.deJonas Günster, Manuel SengeJunning Huang
Active Visual Search with POMDPshellwig-jascha@gmx.de, baierlmark@gmail.comJascha Hellwig, Mark BaierlJoao Carvalho, Julen Urain De Jesus
Second Order Optimistic Actor Criticpascal.herrmann1@stud.tu-darmstadt.de, niklas.kappes@outlook.dePascal Herrmann, Niklas KappesJoao Carvalho
Learning Deep Heuristics for Robot Planningmarino.dominik.dm@gmail.comDominik MarinoTianyu Ren
Multi-sensorial reinforcement learning for robotic tasksRickmer KrohnGeorgia Chalvatzaki, Snehal Jauhri

Completed IP Projects

TopicStudentsAdviser
Multi-Object Pose Estimation for Playing Mikadofelix.kaiser@me.com, moritzmeser@web.de, L.Sterker@web.deFelix Kaiser, Moritz Meser, Louis SterkerPascal Klink
Self-Paced Reinforcement Learning for Sim-to-RealFabian Damken, Heiko CarrascoFabio Muratore
Policy Distillation for Sim-to-RealBenedikt Hahner, Julien BrosseitFabio Muratore
Neural Posterior System IdentificationTheo Gruner, Florian WieseFabio Muratore, Boris Belousov
Syntethic Dataset generation for Articulation predictionJohannes Weyel, Niklas BabendererdeJulen Urain, Puze Liu
Guided Dimensionality Reduction for Black-Box OptimizationMarius MemmelPuze Liu, Davide Tateo
Learning Laplacian Representations for continuous MCTSDaniel Mansfeld, Alex RuffiniTuan Dam, Georgia Chalvatzaki, Carlo D'Eramo
Object Tracking using Depth CarmeraLeon Magnus, Svenja Menzenbach, Max SiebenbornNiklas Funk, Boris Belousov, Georgia Chalvatzaki
GNNs for Robotic ManipulationFabio d'Aquino Hilt, Jan Kolf, Christian WeilandJoao Carvalho
Benchmarking advances in MCTS in Go and ChessLukas SchneiderTuan Dam, Carlo D'Eramo
Architectural Assembly: Simulation and OptimizationJan SchneiderBoris Belousov, Georgia Chalvatzaki
Probabilistic Object Tracking using Depth CarmeraJan Emrich, Simon KiefhaberNiklas Funk, Boris Belousov, Georgia Chalvatzaki
Bayesian Optimization for System Identification in Robot Air HockeyChen Xue. Verena SieburgerPuze Liu, Davide Tateo
Benchmarking MPC Solvers in the Era of Deep Reinforcement LearningDarya Nikitina, Tristan SchulzJoe Watson

  

zum Seitenanfang