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Touch and vision go hand in hand, mutually enhancing our ability to understand the world.
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Smith, E., Calandra, R., Romero, A., Gkioxari, G., Meger, D., Malik, J., Drozdzal, M.: 3d shape reconstruction from vision and touch. Advances in Neural Information Processing Systems 33
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Barron, J.T., Mildenhall, B., Tancik, M., Hedman, P., Martin-Brualla, R., Srinivasan, P.P.: Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5855–5864 (2021)
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2023
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Qi, H., Yi, B., Suresh, S., Lambeta, M., Ma, Y., Calandra, R., Malik, J.: General in-hand object rotation with vision and touch. In: Conference on Robot Learning. pp. 2549–2564. PMLR (2023)
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