Suction-based Grasp Point Estimation in Cluttered Environment for Robotic Manipulator Using Deep Learning-based Affordance Map

Author:

Utomo Tri WahyuORCID,Cahyadi Adha ImamORCID,Ardiyanto IgiORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference40 articles.

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4. A. Zeng, S. R. Song, K. T. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. L. Ma, O. Taylor, M. Liu, E. Romo, N. Fazeli, F. Alet, N. C. Dafle, R. Holladay, I. Morena, P. Q. Nair, D. Green, I. Taylor, W. Liu, T. Funkhouser, A. Rodriguez. Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching. In Proceedings of IEEE International Conference on Robotics and Automation, Brisbane, Australia, pp. 3750–3757, 2018. DOI: https://doi.org/10.1109/ICRA.2018.8461044.

5. S. Caldera, A. Rassau, D. Chai. Review of deep learning methods in robotic grasp detection. Multimodal Technologies and Interaction, vol. 2, no. 3, Article number 57, 2018. DOI: https://doi.org/10.3390/mti2030057.

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