Stanford Vision and Learning Lab members and alumni: we are organizing a SVL+Alumni meet up at CVPR’24! Please check your emails for more details.
Stanford Vision and Learning Lab
@StanfordSVL
SVL is led by @drfeifei @silviocinguetta @jcniebles @jiajunwu_cs and works on machine learning, computer vision, robotics and language
- Are you a passionate and experienced researcher in robotics with knowledge in computer vision? Do you want to build impactful robotic systems? Stanford Vision and Learning lab (SVL) is searching for a Postdoctoral Fellow with your skills.
- Stanford Vision and Learning Lab is presenting 7 papers at #CORL2023, including 3 oral presentations, and 3 award nominations, see below:
- RL in multitask domains with shared underlying latent information can be made more effective through learning action space manifolds. Check out this effort on Learning latent Action Spaces at #ICRA2021When you try to open a new door, do you try to yank it up? Likely, no. Why should your robot continue to do so! Check out our #ICRA2021 paper on learning action spaces for efficient contact-rich manipulation. paper: arxiv.org/abs/2103.15793 youtu.be/7iFRdvV_pTU
- We are hosting one of the 3 challenges of embodied-ai.org at CVPR20. Train your navigating agent in our simulator Gibson (svl.stanford.edu/gibson2) and we will test it in the real world! The best solutions will showcase live during CVPR. More info: svl.stanford.edu/gibson2/challe…
