2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)

IEEE, 2018.

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)

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Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data

Шпильман А. А., Malysheva A., Kudenko D., , in: 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV).: IEEE, 2018. P. 286–291.

Learning to produce efficient movement behaviour for humanoid robots from scratch is a hard problem, as has been illustrated by the “Learning to run” competition at NIPS 2017. The goal of this competition was to train a two-legged model of a humanoid body to run in a simulated race course with maximum speed. All submissions ...

Добавлено: 18 января 2019 г.

Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation

Шпильман А. А., Sosin I., Kudenko D., , in: 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV).: IEEE, 2018. P. 1436–1441.

Movement control of artificial limbs has made big advances in recent years. New sensor and control technology enhanced the functionality and usefulness of artificial limbs to the point that complex movements, such as grasping, can be performed to a limited extent. To date, the most successful results were achieved by applying recurrent neural networks (RNNs), ...

Добавлено: 18 января 2019 г.

Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data

Малышева А. И., Шпильман А. А., Kudenko D., , in: 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV).: IEEE, 2018. P. 286–291.

Добавлено: 20 сентября 2023 г.