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Camera-to-robot calibration is crucial for vision-based robot control and requires effort to make it accurate.
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T. E. Lee, J. Tremblay, T. To, J. Cheng, T. Mosier, O. Kroemer, D. Fox, and S. Birchfield, “Camera-to-robot pose estimation from a single image,” in 2020 IEEE International Conference on Robotics and Automation (ICRA)
2020
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T. E. Lee, J. Tremblay, T. To, J. Cheng, T. Mosier, O. Kroemer, D. Fox, and S. Birchfield, “Camera-to-robot pose estimation from a single image,” in 2020 IEEE International Conference on Robotics and Automation (ICRA)
2020
Cited alongside, same era.
B. Chen, A. Parra, J. Cao, N. Li, and T.-J. Chin, “End-to-end learnable geometric vision by backpropagating pnp optimization,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2020
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Y. Labbé, J. Carpentier, M. Aubry, and J. Sivic, “Single-view robot pose and joint angle estimation via render & compare,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021
Cited alongside, same era.
F. Richter, J. Lu, R. K. Orosco, and M. C. Yip, “Robotic tool tracking under partially visible kinematic chain: A unified approach,” IEEE Transactions on Robotics
2021
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Y. Labbé, J. Carpentier, M. Aubry, and J. Sivic, “Single-view robot pose and joint angle estimation via render & compare,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021
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2021
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2021
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2021
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2023
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J. Lu, F. Richter, and M. C. Yip, “Markerless camera-to-robot pose estimation via self-supervised sim-to-real transfer,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2023
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J. Lu, F. Liu, C. Girerd, and M. C. Yip, “Image-based pose estimation and shape reconstruction for robot manipulators and soft, continuum robots via differentiable rendering,” in 2023 IEEE International Conference on Robotics and Automation (ICRA)
2023
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2023
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2024
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P. Gao, S. Geng, R. Zhang, T. Ma, R. Fang, Y. Zhang, H. Li, and Y. Qiao, “Clip-adapter: Better vision-language models with feature adapters,” International Journal of Computer Vision
2024
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