CCA-MTFCN: A Robotic Pushing-Grasping Collaborative Method Based on Deep Reinforcement Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8018-5_5
Reference29 articles.
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3. Mohammed, M.Q., Kwek, L.C., Chua, S.C., et al.: Review of learning-based robotic manipulation in cluttered environments. Sensors 22(20), 7938 (2022)
4. Dogar, M.R., Srinivasa, S.S.: A planning framework for non-prehensile manipulation under clutter and uncertainty. Auton. Robot. 33, 217–236 (2012)
5. Zeng, A., Song, S., Welker, S., et al.: Learning synergies between pushing and grasping with self-supervised deep reinforcement learning. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4238–4245. IEEE (2018)
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