Affiliation:
1. Connected Robotics Inc.
2. Machine Perception and Robotics Group, Chubu University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Reference29 articles.
1. [1] A. Saxena, J. Driemeyer, and A.Y. Ng, “Robotic grasping of novel objects using vision,” The Int. J. Robotics Research, vol.27, no.2, pp.157-173, 2008. 10.1177/0278364907087172
2. [2] P. Bezak, P. Bozek, and Y. Nikitin, “Advanced robotic grasping system using deep learning,” Procedia Engineering, vol.96, pp.10-20, 2014. 10.1016/j.proeng.2014.12.092
3. [3] J. Watson, J. Hughes, and F. Iida, “Real-world, real-time robotic grasping with convolutional neural networks,” Annual Conference Towards Autonomous Robotic Systems, pp.617-626, Springer, 2017. 10.1007/978-3-319-64107-2_50
4. [4] A. Hentout, A. Mustapha, A. Maoudj, and I. Akli, “Key challenges and open issues of industrial collaborative robotics,” 2018 The 27th IEEE Int. Symp. Workshop on Human-Robot Interaction: from Service to Industry (HRI-SI2018) at Robot and Human Interactive Communication. Proceedings. IEEE, 2018.
5. [5] Epic Games, “Unreal Engine.”