Physics-Based Object 6D-Pose Estimation During Non-prehensile Manipulation

Author:

Xu Zisong,Papallas Rafael,Dogar Mehmet R.

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Correll, N., Bekris, K.E., Berenson, D., et al.: Analysis and observations from the first amazon picking challenge. In: T-ASE (2016)

2. Tremblay, J., To, T., Sundaralingam, B., Xiang, Y., et al.: Deep object pose estimation for semantic robotic grasping of household objects, arXiv preprint (2018)

3. Collet, A., Martinez, M., Srinivasa, S.S.: The moped framework: Object recognition and pose estimation for manipulation. In: IJRR (2011)

4. Ruggiero, F., Lippiello, V., Siciliano, B.: Nonprehensile dynamic manipulation: a survey. In: RA-L, vol. 2018 (2018)

5. Papallas, R., Cohn, A.G., Dogar, M.R.: Online replanning with human-in-the-loop for non-prehensile manipulation in clutter-a trajectory optimization based approach. In: RA-L, vol. 2020 (2020)

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