Encoder–decoder recurrent network model for interactive character animation generation
Y Wang, W Che, B Xu - The Visual Computer, 2017 - Springer
In this paper, we propose a generative recurrent model for human-character interaction. Our
model is an encoder-recurrent-decoder network. The recurrent network is composed by …
model is an encoder-recurrent-decoder network. The recurrent network is composed by …
Exploring Learning for Intercepting Projectiles with a Robot-Held Stick
JEG Baxter, T Adamson, S Sugaya… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
For many tasks, including table tennis, catching, and sword fighting, a critical step is
intercepting the incoming object with a robot arm or held tool. Solutions to robot arm …
intercepting the incoming object with a robot arm or held tool. Solutions to robot arm …
경로탐색기법과강화학습을사용한주먹지르기동작생성기법
박현준， 최위동， 장승호， 홍정모 - 멀티미디어학회논문지, 2018 - dbpia.co.kr
Recent advances in machine learning approaches such as deep neural network and
reinforcement learning offer significant performance improvements in generating detailed …
reinforcement learning offer significant performance improvements in generating detailed …
Punching Motion Generation using Reinforcement Learning and Trajectory Search Method
HJ Park, WD Choi, SH Jang… - Journal of Korea …, 2018 - koreascience.kr
Recent advances in machine learning approaches such as deep neural network and
reinforcement learning offer significant performance improvements in generating detailed …
reinforcement learning offer significant performance improvements in generating detailed …