Deep Convolutional Generative Adversarial Network for Inverse Kinematics of Self-Assembly Robotic Arm Based on the Depth Sensor-Reference-Cited by-同舟云学术

Deep Convolutional Generative Adversarial Network for Inverse Kinematics of Self-Assembly Robotic Arm Based on the Depth Sensor

Author:

Hsieh Yi-Zeng¹^ORCID,Xu Fu-Xiong¹^ORCID,Lin Shih-Syun²^ORCID

Affiliation:

1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan

2. Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung City, Taiwan

Funder

National Science and Technology Council (NSTC), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference20 articles.

3. Towards a common implementation of reinforcement learning for multiple robotic tasks;martínez-tenor;arXiv 1702 06329,2017

5. Improved techniques for training GANs;salimans;arXiv 1606 03498,2016

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