Robotics in Germany

구 박사님의 도움으로 많은 정보를 얻게 되었다. 

필요 서류

http://www.seoul.diplo.de/contentblob/1710360/Daten/4508888/daad_jahresstipendien_d.pdf

1. 막스 플랑크 연구실- Stefan Schaal 교수님 

http://www-amd.is.tuebingen.mpg.de/

머신 러닝을 많이 사용한다. 

2015

Daniel Kappler, Jeannette Bohg and Stefan Schaal (2015). Leveraging Big Data for Grasp Planning, Proceedings of the IEEE International Conference on Robotics and Automation 

[Keywords: Data-Driven Grasp Synthesis, Deep Learning, Crowdsourcing] 

  Details  PDF  BibTeX

M. Wüthrich, J. Bohg, D. Kappler, C. Pfreundt and S. Schaal (2015). The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems, Proceedings of the IEEE International Conference on Robotics and Automation 

[Keywords: Particle Filter, High-Dimensional State Space, Visual Tracking] 

  Details  PDF  BibTeX

M. Wüthrich, S. Trimpe, D. Kappler and S. Schaal (2015). A New Perspective and Extension of the Gaussian Filter, Robotics: Science and Systems 

[Keywords: Gaussian Filter, Kalman Filter, Unscented Kalman Filter, Variational Inference] 

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Muehlebach, M. and Trimpe, S. (2015). LMI-Based Synthesis for Distributed Event-Based State Estimation, Proceedings of the American Control Conference 

[Keywords: Event-based estimation, event-based control, distributed estimation, distributed control, LMI-synthesis, stability] 

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Sankaran B., Bohg, J., Ratliff, N., Schaal S. (2015). Policy Learning with Hypothesis Based Local Action Selection, Reinforcement Learning and Decision Making 

[Keywords: Hypothesis Classification, Greedy Action Selection, Policy Learning, Learning from Demonstration ] 

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Trimpe, S. and Buchli, J. (2015). Event-based Estimation and Control for Remote Robot Operation with Reduced Communication, Proceedings of the IEEE International Conference on Robotics and Automation 

[Keywords: Event-based estimation, event-based control, human-robot coordination, reduced communication] 

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2014

Atanasov, N., Sankaran, B., Le Ny, J., Pappas, G., and Daniilidis, K. (2014). Nonmyopic View Planning for Active Object Classification and Pose Estimation, IEEE Transactions on Robotics 

[Keywords: Active Perception, Multiple Hypothesis Testing, POMDP, Active Classification] 

  Details  PDF  BibTeX

Bohg, J., Morales, A., Asfour, T. and Kragic, D. (2014). Data-Driven Grasp Synthesis - A Survey, IEEE Transactions on Robotics 

[Keywords: Object grasping and manipulation, grasp synthesis, grasp planning, visual perception, object recognition and classification, visual representations] 

  Details  PDF  BibTeX

Bohg, J.;Romero, J.;Herzog, A.;Schaal, S. (2014). Robot Arm Pose Estimation through Pixel-Wise Part Classification, Proceedings of the IEEE International Conference on Robotics and Automation 

[Keywords: Computer vision, RGB-D perception, visual servoing] 

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Herzog, A.; Pastor, P.; Kalakrishnan, M.; Righetti, L.; Bohg, J.; Asfour, T.; Schaal, S. (2014). Learning of Grasp Selection based on Shape-Templates, Autonomous Robots, 36, 1-2, pp.51-65, Springer US 

[Keywords: Model-free Grasping; Grasp Synthesis; Template Learning] 

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Herzog, A.;Righetti, L.;Grimminger, F.;Pastor, P.;Schaal, S. (2014). Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics, Proceedings of the IEEE International Conference on Intelligent Robotics Systems 

[Keywords: contact interaction, humanoid robotics, inverse dynamics, torque control, whole body control] 

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Herzog, A.;Righetti, L.;Grimminger, F.;Schaal, S. (2014). Experiments with Hierarchical Inverse Dynamics Controllers on a Torque Controlled Humanoid, Proceedings of Dynamic Walking 

[Keywords: balancing, humanoid robotics, optimal control, QP] 

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Mason, S.;Righetti, L.;Schaal, S. (2014). Towards Full System Linear Quadratic Regulators for Humanoid Control, Proceedings of Dynamic Walking 

[Keywords: balancing, humanoid robotics, LQR, whole body control] 

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Meier, F.;Hennig, P.;Schaal, S. (2014). Local Gaussian Regression, arXiv preprint 

[Keywords: High-dimensional regression, internal model, real-time robot learning] 

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Meier, F.;Hennig, P.;Schaal, S. (2014). Efficient Bayesian Local Model Learning for Control, Proceedings of the IEEE International Conference on Intelligent Robotics Systems 

[Keywords: High-dimensional regression, internal model, real-time, robot learning] 

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Meier, F.;Hennig, P.;Schaal, S. (2014). Incremental Local Gaussian Regression, Advances in Neural Information Processing Systems 

[Keywords: High-dimensional regression, incremental learning, internal model, real-time, robot learning] 

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Rai, A., Meier, F., Ijspeert, A., Schaal, S. (2014). Learning coupling terms for obstacle avoidance, International Conference on Humanoid Robotics, pp.512-518, IEEE 

[Keywords: dynamic movement primitives, coupling terms, obstacle avoidance, manipulation, robot] 

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Righetti, L.;Kalakrishnan, M.;Pastor, P.;Binney, J.;Kelly, J.;Voorhies, R. C.;Sukhatme, G. S.;Schaal, S. (2014). An autonomous manipulation system based on force control and optimization, Auton. Robots, 36, 1-2, pp.11-30, Springer US 

[Keywords: force control, optimal control, redundancy, whole body control] 

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Rotella, N.;Bloesch, M.;Righetti, L.;Schaal, S. (2014). State Estimation for a Humanoid Robot, arXiv preprint 

[Keywords: humanoid robotics, kalman filter, state estimation] 

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Rotella, N.;Bloesch, M.;Righetti, L.;Schaal, S. (2014). State Estimation for a Humanoid Robot, Proceedings of the International Conference on Intelligent Robots and Systems 

[Keywords: humanoid robotics, kalman filter, state estimation] 

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Rotella, N.;Bloesch, M.;Righetti, L.;Schaal, S. (2014). State Estimation for Walking Humanoids on Unknown Terrain, Proceedings of Dynamic Walking 

[Keywords: humanoid robotics, kalman filter, state estimation] 

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Spatz, J. P.;Schaal, S. (2014). Perspective: Intelligent Systems: Bits and Bots, Nature, 509 

[Keywords: intelligent systems, nano robotics, robotics, smart materials] 

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Toussaint, M.;Ratliff, N.;Bohg, J.;Righetti, L.;Englert, P.;Schaal, S. (2014). Dual Execution of Optimized Contact Interaction Trajectories, Proceedings of the International Conference on Intelligent Robots and Systems 

[Keywords: contact interaction, manipulation, optimal control, uncertainty] 

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Trimpe, S. (2014). Stability Analysis of Distributed Event-Based State Estimation, Proceedings of the 53rd IEEE Conference on Decision and Control 

[Keywords: Event-based state estimation, distributed control, networked control] 

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Trimpe, S.; D'Andrea, R. (2014). A Limiting Property of the Matrix Exponential, IEEE Transactions on Automatic Control, 59, 4, pp.1105-1110 

[Keywords: matrix exponential, limiting property, logarithmic norm, time-scale separation] 

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Trimpe, S.; D'Andrea, R. (2014). Event-Based State Estimation With Variance-Based Triggering, IEEE Transactions on Automatic Control, 59, 12, pp.3266-3281 

[Keywords: State estimation, distributed estimation, event-based communication, networked control systems, periodic solution, sensor scheduling, switching Riccati equation] 

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Trimpe, S.; Millane, A.; Doessegger, S.; D'Andrea, R. (2014). A Self-Tuning LQR Approach Demonstrated on an Inverted Pendulum, Proceedings of the 19th IFAC World Congress 

[Keywords: linear quadratic control, adaptive control, automatic controller tuning, balancing systems] 

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2. KIT 타민 교수님 

http://h2t.anthropomatik.kit.edu/english/index.php

휴머노이드 연구실인가 보다. 

3. 프레이버그 대학교 - 볼프람 부가드 

http://ais.informatik.uni-freiburg.de/

2015

•   M. Mazuran, G. D. Tipaldi, L. Spinello, W. Burgard, and C. Stachniss. 

LexTOR: Lexicographic Teach Optimize and Repeat Based on User Preferences. 

In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), Seattle, 2015. 

[ bib | .pdf ]

•   S. Schröer, I. Killmann, B. Frank, M. Völker, L. D. J. Fiederer, T. Ball, and W. Burgard. 

An Autonomous Robotic Assistant for Drinking. 

In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2015. 

[ bib | .pdf ]

•   B. Frank, M. Ruhnke, M. Tatarchenko, and W. Burgard. 

3D-Reconstruction of Indoor Environments from Human Activity. 

In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2015. 

[ bib | .pdf ]

•   J. Röwekämper, M. Ruhnke, B. Steder, W. Burgard, and G. D. Tipaldi. 

Automatic Extrinsic Calibration of Multiple Laser Range Sensors with Little Overlap. 

In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2015. 

[ bib | .pdf ]

•   P. Ruchti, B. Steder, M. Ruhnke, and W. Burgard. 

Localization on OpenStreetMap Data using a 3D Laser Scanner. 

In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2015. 

[ bib | .pdf ]

•   B. Suger, B. Steder, and W. Burgard. 

Traversability Analysis for Mobile Robots in Outdoor Environments: A Semi-Supervised Learning Approach Based on 3D-Lidar Data. 

In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2015. 

[ bib | .pdf ]

•   B. Steder, M. Ruhnke, R. Kümmerle, and W. Burgard. 

Maximum Likelihood Remission Calibration for Groups of Heterogeneous Laser Scanners. 

In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2015. 

[ bib | .pdf ]

•   M. Kuderer, S. Gulati, and W. Burgard. 

Learning Driving Styles for Autonomous Vehicles from Demonstration. 

In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, USA, 2015. 

[ bib | .pdf ]

•   N. Abdo, C. Stachniss, L. Spinello, and W. Burgard. 

Robot, Organize my Shelves! Tidying up Objects by Predicting User Preferences. 

In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, USA, 2015. 

[ bib | .pdf ]

4. TUB - Oliver Brock 교수님 

http://www.robotics.tu-berlin.de/menue/team/oliver_brock

매니퓰레이션을 하는 것 같다. 

5. TUM - Martin Buss 교수님

http://www.lsr.ei.tum.de/startseite/

Control theory and optimal control

Telepresence and teleaction

Natural human-robot interaction and collaboration

Robot action in dynamic environments

Social robotics

6. TUM - 이동희 Dongheui Lee 교수님 

At the Human Robot Interaction for Automation Systems group we aim at innovative research on cognitive robot motor skill learning and control based on human motion understanding. The main focus of the research is twofold: autonomous learning from observations in daily life and cognitive robot control. In order to realize an intuitive robot and to satisfy humans’ expectations for a robotic companion, we study about human beings and transfer the discovered mechanisms to robotic systems. In this way, the robot can learn new skills without engineers' programming and learn complicate tasks incrementally in a generalized framework. Especially by bridging learning from observations, robot motor control, and learning from self practices, robots will be capable of performing complex tasks robustly under uncertainties. 

7. TUM - Gordon Cheng 교수님 

http://www.ics.ei.tum.de/en/home/

여긴 cognitive system을 한다. 나랑은 조금 다르다. 

8. TUM - 산드라 힐쉬 S. Hirche 교수님

https://www.itr.ei.tum.de/en/home/

영상만 봐서는 몬가 나랑 비슷하다. 근데 publication은 아닌 거 같기도 하고.. 

Journal Articles

A. Christou, S. Endo, Y. Wallis, H. Bair, M. Zeegers, J.P. McCleery, "Variation in 5-HTTLPR Short/Long genotype modulates resting frontal EEG asymmetries in children (In Press)," in Development and Psychopathology, 2015 [PDF] [BibTeX] [mediaTUM]

F. Deroo, M. Meinel, M. Ulbrich, S. Hirche, "Distributed stability tests for large-scale systems with limited model information," in IEEE Transactions on Control of Network Systems, 2015 [PDF] [BibTeX] [mediaTUM]

T. Nierhoff, S. Hirche, "Spatial adaption of robot trajectories based on Laplacian Trajectory Editing," in Autonomous Robots, 2015 [PDF] [BibTeX] [mediaTUM]

V. Koropouli, S. Hirche, D. Lee, "Generalization of Force Control Policies from Demonstrations for Constrained Robotic Motion Tasks," in Journal of Intelligent & Robotic Systems, 2015 [PDF] [BibTeX] [mediaTUM]

T. Nierhoff, K. Leibrandt, T. Lorenz, S. Hirche, "Robotic billiards: Understanding humans in order to counter them," in IEEE Transactions on Cybernetics, 2015 [PDF] [BibTeX] [mediaTUM]

M.H. Mamduhi, D. Tolic, S. Hirche, "Robust Event-based Data Scheduling for Resource Constrained Networked Control Systems," in American Control Conference (ACC), 2015 [PDF] [BibTeX] [mediaTUM]

Peer Reviewed Conference Papers

M. Lang, M. Kleinsteuber, O. Dunkley, S. Hirche, "Gaussian Process Dynamical Models over Dual Quaternions," in European Control Conference (ECC) (accepted), 2015 [PDF] [BibTeX] [mediaTUM]

T. Soleymani, E. Garone, M. Dorigo, "Distributed Predictive Connectivity Control for Double Integrator Agents based on a Receding Horizon Scheme," in American Control Conference, 2015 [PDF] [BibTeX] [mediaTUM]

H. Börner, S. Endo, A. Frisoli, S. Hirche, "Effects of Vibrotactile Feedback on Human Control Performance in a Dynamical Stabilization Task," in IEEE World Haptics Conference (WHC), 2015 [PDF] [BibTeX] [mediaTUM]

M.H. Mamduhi, D. Tolic, S. Hirche, "Decentralized Event-based Scheduling for Shared-Resource Networked Control Systems," in 14th Annual European Control Conference (ECC), 2015 [PDF] [BibTeX] [mediaTUM]

2014

9. 브레멘 대학교 - Michael Beetz 교수님

http://ai.uni-bremen.de/

순수 AI 쪽이라던데.. 나랑은 좀 다른 것 같다. 

10. DLR 연구소 

http://www.dlr.de/rmc/rm/en/desktopdefault.aspx/tabid-8016/

11. TUM -  Dirk Wollherr 디어크 볼헤어 교수님

http://www.lsr.ei.tum.de/en/team/dozenten/dirk-wollherr/

이 분이 나랑 가장 잘 맞을 것 같다. 

His research interests include automatic control, robotics, autonomous mobile robots, human-robot-interaction, and humanoid walking.

이 과제:

Path Planning in Dynamic Environments

A major goal in current mobile robotics research is to bring robots into natural human-populated environments. Such scenario requires safe navigation amongst people. Trying to completely avoid regions resulting from worst case predictions of the obstacle dynamics may leave no free space for a robot to move, especially within environments with high dynamic. To move deftly and goal-oriented within populated areas, the environmental dynamics has to be predicted and taken into account during path planning. This requires first to perceive dynamic objects, second to predict their future motions and third to plan a sophisticated path based on this knowledge.

http://www.lsr.ei.tum.de/en/research/robotics/path-planning-in-dynamic-environments/

가 나랑 잘 맞는 것 같다. 

24 A. Turnwald, S. Eger, D. Wollherr, "Investigating Similarity Measures for Locomotor Trajectories Based on the Human Perception of Differences in Motions", IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), accepted, 2015

25 A. Lawitzky, A. Nicklas, D. Wollherr and M. Buss , Determining States of Inevitable Collision using Reachability Analysis , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2014.

26 D. Wollherr, S. Khan, C. Landsiedel and M. Buss. The Interactive Urban Robot IURO:Towards Robot Action in Human Environments, International Symposium on Experimental Robotics (ISER), Springer, 2014.

27 A. Lawitzky, D. Althoff, C. F. Passenberg, G. Tanzmeister, D. Wollherr, M. Buss , Interactive Scene Prediction for Automotive Applications, IEEE Intelligent Vehicles Symposium (IV), Best PhD Student Paper Award Second Prize, 2013.

28 C. Landsiedel, R. de Nijs, K. Kühnlenz, D. Wollherr, M. Buss , Route Description Interpretation on Automatically Labeled Robot Maps , IEEE International Conference on Robotics and Automation, 2013.

29 G. Tanzmeister, M. Friedl, A. Lawitzky, D. Wollherr and M. Buss , Ro

ad Course Estimation in Unknown, Structured Environments , IEEE Intelligent Vehicles Symposium (IV), 2013.

1 S. Khan, C. Verginis, A. Dometios, C. Tzafestas, D. Wollherr, M. Buss , RMAP: a rectangular cuboid approximation framework for 3D environment mapping, Autonomous Robots, vol. 37, no. 3, pp. 1-17, 2014.

2 B. Kühnlenz (Gonsior), S. Sosnowski, M. Buß, D. Wollherr, K. Kühnlenz, M. Buss , Increasing Helpfulness towards a Robot by Emotional Adaption to the User , International Journal of Social Robotics (IJSR) , vol. 5, no. 4, pp. 457-476, 2013.

3 G. Bätz, B. Weber, M. Scheint, D. Wollherr, M. Buss , Dynamic Contact Force/Torque Observer: Sensor Fusion for Improved Interaction Control , International Journal of Robotics Research, vol. 32, no. 4, pp. 446-457, 2013.