Funder
Science and Technology Program of Zhejiang Province
Zhejiang Provincial Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. Calli, B., Singh, A., Walsman, A., et al. (2015). The ycb object and model set: Towards common benchmarks for manipulation research. In: 2015 international conference on advanced robotics (ICAR), IEEE, p. 510–517
2. Chen, H., Zendehdel, N., Leu, M. C., et al. (2023). Fine-grained activity classification in assembly based on multi-visual modalities. Journal of Intelligent Manufacturing
3. Choi, C., & Christensen, H. I. (2013). Rgb-d object tracking: A particle filter approach on gpu. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, pp 1084–1091
4. Deng, X., Xiang, Y., Mousavian, A., et al. (2020). Self-supervised 6d object pose estimation for robot manipulation. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp 3665–3671
5. Deng, X., Mousavian, A., Xiang, Y., et al. (2021). Poserbpf: A rao-blackwellized particle filter for 6-d object pose tracking. IEEE Transactions on Robotics, 37(5), 1328–1342.