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Frontiers in Robotics and AI
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January 27, 2021
A Hybrid Framework for Understanding and Predicting Human Reaching Motions
Ozgur S Oguz, Zhehua Zhou, Dirk Wollherr
IEEE Transactions on Neural Networks and Learning Systems
|
September 3, 2021
Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Zhehua Zhou, Ozgur S Oguz, Marion Leibold, et al.
Scientific Reports
|
April 5, 2018
An Inverse Optimal Control Approach to Explain Human Arm Reaching Control Based on Multiple Internal Models
Ozgur S Oguz, Zhehua Zhou, Stefan Glasauer, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Adaptation and Transfer of Robot Motion Policies for Close Proximity Human-Robot Interaction
Khoi Hoang Dinh, Ozgur S Oguz, Mariam Elsayed, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Frontiers in Robotics and AI
|
January 27, 2021
A Hybrid Framework for Understanding and Predicting Human Reaching Motions
Ozgur S Oguz, Zhehua Zhou, Dirk Wollherr
IEEE Transactions on Neural Networks and Learning Systems
|
September 3, 2021
Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Zhehua Zhou, Ozgur S Oguz, Marion Leibold, et al.
Scientific Reports
|
April 5, 2018
An Inverse Optimal Control Approach to Explain Human Arm Reaching Control Based on Multiple Internal Models
Ozgur S Oguz, Zhehua Zhou, Stefan Glasauer, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Adaptation and Transfer of Robot Motion Policies for Close Proximity Human-Robot Interaction
Khoi Hoang Dinh, Ozgur S Oguz, Mariam Elsayed, et al.
Page
of 1