Ryu, H., Kim, J., An, H., Chang, J., Seo, J., Kim, T., ... & Horowitz, R. (2024). Diffusion-edfs: Bi-equivariant denoising generative modeling on se (3) for visual robotic manipulation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 18007-18018).
Seo, J., Prakash, N. P., Zhang, X., Wang, C., Choi, J., Tomizuka, M., & Horowitz, R. (2023). Contact-rich se (3)-equivariant robot manipulation task learning via geometric impedance control. IEEE Robotics and Automation Letters.
Xu, Mengda, et al. "Flow as the cross-domain manipulation interface." arXiv preprint arXiv:2407.15208 (2024).
Beltran-Hernandez, Cristian C., et al. "Variable compliance control for robotic peg-in-hole assembly: A deep-reinforcement-learning approach." Applied Sciences 10.19 (2020): 6923.
Wen, Chuan, et al. "Any-point trajectory modeling for policy learning." arXiv preprint arXiv:2401.00025 (2023).
Gioioso, Guido, et al. "An object-based approach to map human hand synergies onto robotic hands with dissimilar kinematics." (2013).