Lioutikov, Rudolf ; Maeda, Guilherme ; Veiga, Filipe ; Kersting, Kristian ; Peters, Jan (2020)
Learning attribute grammars for movement primitive sequencing.
In: The International Journal of Robotics Research, 39 (1)
doi: 10.1177/0278364919868279
Artikel, Bibliographie

Ewerton, Marco ; Arenz, Oleg ; Maeda, Guilherme ; Koert, Dorothea ; Kolev, Zlatko ; Takahashi, Masaki ; Peters, Jan (2019)
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.
In: Frontiers in Robotics and AI, 6
doi: 10.3389/frobt.2019.00089
Artikel, Bibliographie

Celemin, Carlos ; Maeda, Guilherme ; Ruiz-del-Solar, Javier ; Peters, Jan ; Kober, Jens (2019)
Reinforcement learning of motor skills using Policy Search and human corrective advice.
In: The International Journal of Robotics Research, 38 (14)
doi: 10.1177/0278364919871998
Artikel, Bibliographie

Ewerton, Marco ; Rother, David ; Weimar, Jakob ; Kollegger, Gerrit ; Wiemeyer, Josef ; Peters, Jan ; Maeda, Guilherme (2018)
Assisting Movement Training and Execution with Visual and Haptic Feedback.
In: Frontiers in Neurorobotics
doi: 10.3389/fnbot.2018.00024
Artikel, Bibliographie

Lioutikov, Rudolf ; Neumann, Gerhard ; Maeda, Guilherme ; Peters, Jan (2017)
Learning Movement Primitive Libraries through Probabilistic Segmentation.
In: International Journal of Robotics Research, 36 (8)
doi: 10.1177/0278364917713116
Artikel, Bibliographie

Busch, Baptiste ; Maeda, Guilherme ; Mollard, Yoan ; Demangeat, Marie ; Lopes, Manuel (2017)
Postural Optimization for an Ergonomic Human-Robot Interaction.
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vancouver, BC, Canada (24.09.2017-28.09.2017)
doi: 10.1109/IROS.2017.8206107
Konferenzveröffentlichung, Bibliographie

Maeda, Guilherme ; Ewerton, Marco ; Koert, Dorothea ; Peters, Jan (2016)
Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills.
In: IEEE ROBOTICS AND AUTOMATION LETTERS, 1 (2)
Artikel, Bibliographie

Koc, Okan ; Peters, Jan ; Maeda, Guilherme (2016)
A New Trajectory Generation Framework in Robotic Table Tennis.
Daejeon, South Korea (09.10.2016-14.10.2016)
doi: 10.1109/IROS.2016.7759552
Konferenzveröffentlichung, Bibliographie