Workspace-Based Precision Grasp Pose Generator for Multi-fingered Robotic Hands
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44851-5_29
Reference16 articles.
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3. Mahler, J., Pokorny, F.T., Hou, B., Roderick, M., Laskey, M., Aubry, M., Kohlhoff, K., Kröger, T., Kuffner, J., Goldberg, K.: Dex-Net 1.0: a cloud-based network of 3D objects for robust grasp planning using a multi-armed bandit model with correlated rewards. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 1957–1964 (2016)
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