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Artificial Life
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November 29, 2012
Stochastic optimal control methods for investigating the power of morphological computation
Elmar A Rückert, Gerhard Neumann
Sensors (Basel, Switzerland)
|
July 2, 2021
Deep Reinforcement Learning for Attacking Wireless Sensor Networks
Juan Parras, Maximilian Hüttenrauch, Santiago Zazo, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators
Khaled Elgeneidy, Gerhard Neumann, Michael Jackson, et al.
Frontiers in Computational Neuroscience
|
January 8, 2013
Learned graphical models for probabilistic planning provide a new class of movement primitives
Elmar A Rückert, Gerhard Neumann, Marc Toussaint, et al.
Biological Cybernetics
|
April 28, 2011
Biologically inspired kinematic synergies enable linear balance control of a humanoid robot
Helmut Hauser, Gerhard Neumann, Auke J Ijspeert, et al.
IEEE Transactions on Haptics
|
February 4, 2020
Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm With an Identical Twin Master
Jayant Singh, Aravinda Ramakrishnan Srinivasan, Gerhard Neumann, et al.
Journal of Experimental Psychology. Human Perception and Performance
|
May 15, 2025
Identifying individual cost-balancing strategies when self-organizing task switching
Irina Monno, Philipp Dahlinger, Jeff Miller, et al.
Frontiers in Computational Neuroscience
|
June 27, 2014
Learning modular policies for robotics
Gerhard Neumann, Christian Daniel, Alexandros Paraschos, et al.
IEEE Transactions on Haptics
|
April 30, 2019
A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping
Firas Abi-Farraj, Claudio Pacchierotti, Oleg Arenz, et al.
Frontiers in Robotics and AI
|
May 21, 2021
Autonomous Robots for Space: Trajectory Learning and Adaptation Using Imitation
R B Ashith Shyam, Zhou Hao, Umberto Montanaro, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Artificial Life
|
November 29, 2012
Stochastic optimal control methods for investigating the power of morphological computation
Elmar A Rückert, Gerhard Neumann
Sensors (Basel, Switzerland)
|
July 2, 2021
Deep Reinforcement Learning for Attacking Wireless Sensor Networks
Juan Parras, Maximilian Hüttenrauch, Santiago Zazo, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators
Khaled Elgeneidy, Gerhard Neumann, Michael Jackson, et al.
Frontiers in Computational Neuroscience
|
January 8, 2013
Learned graphical models for probabilistic planning provide a new class of movement primitives
Elmar A Rückert, Gerhard Neumann, Marc Toussaint, et al.
Biological Cybernetics
|
April 28, 2011
Biologically inspired kinematic synergies enable linear balance control of a humanoid robot
Helmut Hauser, Gerhard Neumann, Auke J Ijspeert, et al.
IEEE Transactions on Haptics
|
February 4, 2020
Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm With an Identical Twin Master
Jayant Singh, Aravinda Ramakrishnan Srinivasan, Gerhard Neumann, et al.
Journal of Experimental Psychology. Human Perception and Performance
|
May 15, 2025
Identifying individual cost-balancing strategies when self-organizing task switching
Irina Monno, Philipp Dahlinger, Jeff Miller, et al.
Frontiers in Computational Neuroscience
|
June 27, 2014
Learning modular policies for robotics
Gerhard Neumann, Christian Daniel, Alexandros Paraschos, et al.
IEEE Transactions on Haptics
|
April 30, 2019
A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping
Firas Abi-Farraj, Claudio Pacchierotti, Oleg Arenz, et al.
Frontiers in Robotics and AI
|
May 21, 2021
Autonomous Robots for Space: Trajectory Learning and Adaptation Using Imitation
R B Ashith Shyam, Zhou Hao, Umberto Montanaro, et al.
Page
of 1