Oberseminar - Intelligent Autonomous Systems

Quick Facts

Organizers:Jan Peters
Date:Every Friday in Summer 2012
Time:10:45 to 12:25
Room:S202 E302
TU-CAN:20-00-0630-os Intelligente Autonome Systeme Oberseminar
Credits:N.A.

Abstract

The Oberseminar Intelligent Autonomous Systems covers current research topics of the Intelligent Autonomous Systems (IAS) group at the TU Darmstadt. It will include invited talks by famous machine learning researchers from all over the world, presentations of IAS members on their current research, presentations by external members of IAS at the Max Planck Institute for Biological Cybernetics and the Max Planck Institute for Intelligent Systems, final presentations of all Bachelors, Masters and Ph.D. theses which have been completed at IAS ... and probably much more.

This schedule will be updated regularly. Please check it before the meeting. There will be pizza during the talks!

Planned Presentations (Summer 2012)

DatePresenterTopic
13. Apr. 2012Nakul GoppalanMSc-Progress-Report: Feeback-Error Learning of Motor Primitives
20. Apr. 2012Jens KoberPh.D. Thesis Defense Dry Run
27. Apr. 2012Gerhard NeumannInverse Relative Entropy Reinforcement Learning
 Martin DistlerBSc thesis defense (Abschlussvortrag): Koennen Lernalgorithmen interagieren wie im Gehirn?
4. Mai 2012Oliver KroemerA Kernel-based Approach to Direct Action Perception
 Andreas ZimpferBSc thesis defense (Abschlussvortrag): Learning to Shoot Rockets
11. Mai 2012Christian DanielMSc theses defense: Hierarchical Relative Entropy Policy Search - Robots playing Tetherball
 Roberto CalandraLearning from Generated Samples: Towards an Incremental Learning Approach for Deep Belief Networks
18. Mai 2012Alexandros ParaschosModel-Driven Behavior Specification for Robotic Teams
 Sören HeßBSc-Progress-Report: Levitation Sphere
25. Mai 2012Philipp BeckerleA design methodology and basic technologies for user-friendly, active lower limb prostheses
 Sven ArnoldBSc-Progress-Report: Simulation of a Humanoid Robot
1. Jun. 2012Felix MayerBSc-Progress Report
 Paul HenschBSc thesis defense (Abschlussvortrag): Comparing Reinforcement Learning Algorithms on Tic-Tac-Toe
8. Jun. 2012Timm MeyerTBA
 David SharmaBSc-Progress Report
 Herke van HoofTBA
15. Jun. 2012Marc DeisenrothTBA
22. Jun. 2012Andre SeyfarthBiomechanics and Neuromechanics of Legged Locomotion
29. Jun. 2012Michael GiengerRobot imitation learning of object movement skills
6. Jul. 2012Sven ArnoldBSc thesis defense (Abschlussvortrag): Simulation of a Humanoid Robot
 Jackie SheltonSelect and Sample – A model of efficient neural inference and learning
13. Jul. 2012Philipp HennigTBA
 Sören HeßBSc thesis defense (Abschlussvortrag): Levitation Sphere

Fall 2011/2012

DatePresenterTopic
26. Okt. 2011Herke van HoofAdaptive Visual Face Tracking for an Autonomous Robot
2. Nov. 2011Gerhard NeumannOn Movement Skill Learning and Movement Representations for Robotics
9. Nov. 2011Christian DanielMSc-Progress-Report: Hierarchical Relative Entropy Policy Search - Robots playing Tetherball
16. Nov. 2011Abdeslam BoulariasLearning Robot Grasping with Structured Prediction Techniques
23. Nov. 2011Philipp HennigInformation Efficient Global Optimization
30. Nov. 2011Oliver KroemerA Non-Parametric Approach to Dynamic Programming
 Sören HeßBSc-Progress-Report: Levitation Sphere
7. Dez. 2011Zhikun WangLearning Anticipation Policies and Opponent Models in Motor Games
 Andreas ZimpferProgress-Report: Learning to Shoot Rockets
14. Dez. 2011Paolo Robuffo GiordanoBilateral Teleoperation of Multi-Robot Systems: Passivity,
Decentralization, and Connectivity Maintenance
21. Dez. 2011Heni Ben AmorLearning Motor- and Interaction Skills in Low-Dimensional Spaces
11. Jan. 2012Jens KoberReinforcement Learning of Motor Primitives for Robotics
 Martin DistlerBSc-Progress-Report: Koennen Lernalgorithmen interagieren wie im Gehirn?
18. Jan. 2012Moritz Grosse-WentrupBCIs and Robotics
 Sven ArnoldBSc-Progress-Report: Simulation of a Humanoid Robot
25. Jan. 2012Katharina MuellingBiomimetic and Learning Approaches to Robot Table Tennis
1. Feb. 2012Nikita KhakkamBSc-Progress-Report: Wie fangen Menschen Baelle?
 Paul HenschBSc-Progress-Report: Comparing Reinforcement Learning Algorithms on Tic-Tac-Toe
8. Feb. 2012Ruimin ZouMSc-Progress-Report (extern): Freiraumbestimmung auf Basis von Occupancy-Gridmaps
 Yanshu JiangResearch on Neural Networks Sliding Mode Control in the Robot Manipulators,
  Adverse Effects of Modern PWM Adjustable Speed Drive System
  and the Associated Countermeasures
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