Robotic Autonomous Grasping Strategy and System for Cluttered Multi-class Objects
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12555-023-0358-y.pdf
Reference36 articles.
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3. A. Zeng, S. Song, K.-T. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu, E. Romo, N. Fazeli, F. Alet, N. C. Dafle, R. Holladay, I. Morena, P. Qu Nair, D. Green, I. Taylor, W. Liu, T. Funkhouser, and A. Rodriguez, “Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching” Proc. of International Conference on Robotics and Automation (ICRA), IEEE, 2018.
4. Muslikhin, J.-R. Horng, S.-Y. Yang, and M.-S. Wang, “Object localization and depth estimation for eye-in-hand manipulator using mono camera,” IEEE Access, vol. 8, pp. 121765–121779, 2020.
5. E. Johns, S. Leutenegger, and A. J. Davison, “Deep learning a grasp function for grasping under gripper pose uncertainty,” Proc. of International Conference on Intelligent Robots and Systems (IROS), IEEE, 2016.
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