Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement
Learning

Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning

6 September 2018

Taku Komura

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Papers citing "Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning"

7 / 7 papers shown

Title
Characterization of Human Balance through a Reinforcement Learning-based Muscle ControllerPLoS ONE (PLoS ONE), 2023 Kubra Akbas Carlotta Mummolo Xianlian Zhou 105 4 0 08 Aug 2023
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery LearningIEEE Robotics and Automation Letters (RA-L), 2021 Diego Ferigo Raffaello Camoriano Paolo Maria Viceconte Daniele Calandriello Silvio Traversaro Lorenzo Rosasco Daniele Pucci 120 20 0 29 Apr 2021
The Importance of Models in Data Analysis with Small Human Movement Datasets -- Inspirations from Neurorobotics Applied to Posture Control of Humanoids and HumansInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2021 Vittorio Lippi Christoph Maurer T. Mergner 56 1 0 04 Feb 2021
Learning natural locomotion behaviors for humanoid robots using human knowledge Chuanyu Yang Kai Yuan Shuai Heng Taku Komura Zhibin Li 154 46 0 20 May 2020
Learning Whole-body Motor Skills for HumanoidsIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2018 Chuanyu Yang Kai Yuan W. Merkt Taku Komura S. Vijayakumar Zhibin Li 170 40 0 07 Feb 2020
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 150 13 0 05 Jun 2019
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge Doo Re Song Chuanyu Yang C. McGreavy Zhibin Li 339 32 0 08 Oct 2017