Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection

Author:

Ummadisingu Avinash1,Takahashi Kuniyuki1,Fukaya Naoki1

Affiliation:

1. Preferred Networks, Inc.

Publisher

IEEE

Reference50 articles.

1. Hierarchical policies for cluttered-scene grasping with latent plans;wang;ArXiv Preprint,2021

2. Learning deep policies for robot bin picking by simulating robust grasping sequences;mahler;Conference on Robot Learning,0

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5. Grasp pose detection in point clouds;ten pas;The International Journal of Robotics Research,2017

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1. Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. A Survey of Synthetic Data Augmentation Methods in Machine Vision;Machine Intelligence Research;2024-03-20

3. Vision-based food handling system for high-resemblance random food items;Robotica;2024-02-21

4. SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Two-Fingered Hand with Gear-Type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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