Sebastian Starke
Sebastian Starke
University of Edinburgh, Electronic Arts
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Cited by
Cited by
Mode-adaptive neural networks for quadruped motion control
H Zhang, S Starke, T Komura, J Saito
ACM Transactions on Graphics (TOG) 37 (4), 1-11, 2018
Neural state machine for character-scene interactions.
S Starke, H Zhang, T Komura, J Saito
ACM Trans. Graph. 38 (6), 209:1-209:14, 2019
An efficient hybridization of genetic algorithms and particle swarm optimization for inverse kinematics
S Starke, N Hendrich, S Magg, J Zhang
2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1782 …, 2016
Local motion phases for learning multi-contact character movements
S Starke, Y Zhao, T Komura, K Zaman
ACM Transactions on Graphics (TOG) 39 (4), 54: 1-54: 13, 2020
Few‐shot Learning of Homogeneous Human Locomotion Styles
I Mason, S Starke, H Zhang, H Bilen, T Komura
Computer Graphics Forum 37 (7), 143-153, 2018
Cost functions to specify full-body motion and multi-goal manipulation tasks
P Ruppel, N Hendrich, S Starke, J Zhang
2018 IEEE International Conference on Robotics and Automation (ICRA), 3152-3159, 2018
Evolutionary multi-objective inverse kinematics on highly articulated and humanoid robots
S Starke, N Hendrich, D Krupke, J Zhang
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Prototyping of immersive HRI scenarios
D Krupke, S Starke, L Einig, J Zhang, F Steinicke
Human-Centric Robotics: Proceedings of CLAWAR 2017: 20th International …, 2018
Memetic evolution for generic full-body inverse kinematics in robotics and animation
S Starke, N Hendrich, J Zhang
IEEE Transactions on Evolutionary Computation 23 (3), 406-420, 2018
A hybrid genetic swarm algorithm for interactive inverse kinematics
S Starke
Universität Hamburg, Fachbereich Informatik, 2016
A memetic evolutionary algorithm for real-time articulated kinematic motion
S Starke, N Hendrich, J Zhang
2017 IEEE Congress on Evolutionary Computation (CEC), 2473-2479, 2017
A Forward Kinematics Data Structure for Efficient Evolutionary Inverse Kinematics
S Starke, N Hendrich, J Zhang
Computational Kinematics, 560-568, 2018
Fast and robust detection and tracking of multiple persons on RGB-D data fusing spatio-temporal information
S Starke, N Hendrich, H Bistry, J Zhang
2015 IEEE International Conference on Multisensor Fusion and Integration for …, 2015
Learning 3D Global Human Motion Estimation from Unpaired, Disjoint Datasets
J Habekost, T Shiratori, Y Ye, T Komura, M Shi, K Aberman, A Aristidou, ...
Computer Graphics Forum 39 (2), 2020
Bio IK: A Memetic Evolutionary Algorithm for Generic Multi-Objective Inverse Kinematics
S Starke
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
Multi-Objective Evolutionary Optimisation for Inverse Kinematics on Highly Articulated and Humanoid Robots
S Starke, N Hendrich, D Krupke, J Zhang
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