Roberto Calandra

128 posts

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Roberto Calandra

Roberto Calandra

@RCalandra

Professor at @lasr_lab of @tudresden_de -- Working in Machine Learning and Robotics.

Dresden, Germany Katılım Temmuz 2011
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Roberto Calandra
Roberto Calandra@RCalandra·
Bye Bye Twitter. You can still find me at @dr.rcal" target="_blank" rel="nofollow noopener">threads.net/@dr.rcal
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Roberto Calandra
Roberto Calandra@RCalandra·
@Mazen_AIEx I am also very interested in many real-world applications, but this opens a world of possibilities that it is hard to know which will be the first successes. Personally, I would love to see it become a musical instrument like the linnstrument @rogerlinndesign
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Roberto Calandra
Roberto Calandra@RCalandra·
I am very excited to introduce Digit360, our new super-human omnidirectional tactile sensor. Digit360 is truly multimodal (sensing forces as small as 1 mN, geometries down to 7 µm, vibrations to 9Khz, heat, and even smell). (1/3)
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Roberto Calandra
Roberto Calandra@RCalandra·
Excited to announce the first Touch Sensing and Processing Summer School hosted in Dresden on September 2-6. The summer school is sponsored by @SECAI_School and @TactileInternet. Accommodations and meals will be fully covered by the summer school. Apply at lasr.org/tspss2024
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Roberto Calandra
Roberto Calandra@RCalandra·
It is a great honor to receive here at ICRA 2024 in Yokohama the IEEE Early Academic Career Award from the Robotics and Automation Society. Thank you to all the splendid collaborators that made this research possible over the years.
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Roberto Calandra
Roberto Calandra@RCalandra·
Would like to do research in touch sensing, but don't have the right hardware? @AIatMeta is now accepting proposals to donate DIGIT sensors. Please apply at digit.ml/cfp
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Huazhe Harry Xu
Huazhe Harry Xu@HarryXu12·
Our 9DTact tactile sensor was open-sourced a few months ago. The tutorial is here: youtube.com/watch?v=VxMceW…! Now 9DTact is combined with a gripper to tighten screws. Move your fingertips if you don't want to move your arms or fingers! Stay tuned ;p
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LarMedAI
LarMedAI@larmedai·
We are getting closer every day to #robots stepping into our world. Research like this will lead to #AI understanding the world as we understand it, with an intuition for physical phenomena like gravity, density, weight, etc. Things we never dress up in words but know ...
Roberto Calandra@RCalandra

We just released our new work on miniaturizing high-resolution tactile sensors using fiber optics, and open-sourced the new DIGIT Pinky sensor. Paper: arxiv.org/abs/2403.05500 Design: github.com/facebookresear…

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Roberto Calandra
Roberto Calandra@RCalandra·
@sanoj500 The technology is quite different since it is vision-based. In terms of performance, the main advantage is a much higher resolution, more sensitive, and less noisy (including wrt. to magnetic fields)
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Roberto Calandra
Roberto Calandra@RCalandra·
Preliminary results show that our sensor, in conjunction with the right AI models, can detect cancer in real prostate tissue. In the future, we hope that this might lead to real-world medical applications.
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Roberto Calandra retweetledi
Markus Wulfmeier
Markus Wulfmeier@m_wulfmeier·
If you're generally excited about #robotics, catch up with our 6th (!!!) Robot Learning workshop on the 16th! 'Pretraining, Fine-Tuning, and Generalization with Large Scale Models' robot-learning.ml/2023/
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Russ Salakhutdinov
Russ Salakhutdinov@rsalakhu·
@ylecun So how many ML full time researchers at Meta left to join academic institutions as professors in the last 10 years, excluding postdocs, and how many of them got hired with tenure?
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Russ Salakhutdinov
Russ Salakhutdinov@rsalakhu·
Going from one industry lab to another is usually an easy process -- people move all the time. Going back to academia after a few years as a full-timer in industry is possible but is much harder, especially with tenure -- being a postdoc or a visiting researcher for a year or two at a top research lab is fine. Things may change in the future but I usually tell my students if you are going to industry for a few years thinking you can easily go back to academia, think twice.
Yann LeCun@ylecun

Ross Girschick (@inkynumbers) is leaving FAIR for AI2, following @sainingxie who joined the NYU faculty (yay!), and @georgiagkioxari who went to Caltech, and Hervé Jégou and @AlexDefosse who went to non-profit Kyutai. It's a loss for FAIR, but I'm happy for them. There is absolutely *nothing* *wrong* with scientists from industry labs moving to Academia or non-profits after several years. For some people, it's a natural career transition. At Bell Labs, a decent proportion of scientists would leave after 5 to 10 years and get a faculty position with tenure (skipping the grueling tenure process altogether) in a good place. At different times in your life, priorities change. You've had an impact in one way and may want to try another way. You may want to work with students. You may enjoy the immediate reward of teaching. The fact that you can work at FAIR and get a tenured faculty position in academia after a few years is a feature, not a bug. This transition is possible from FAIR, as it was from Bell Labs, because FAIR practices open research and encourages scientists to publish. It means that you are not taking any risk by starting your career FAIR. Your options are kept open. People move and seed the research ecosystem. It's a Good Thing. And there are lots of awesomely talented young computer vision scientists who have joined FAIR in the last several years, such as Ishan Misra, @alcinos26, Xinlei Chen, Christoph Feichtenhofer... And that's just the West Coast contingent. There are lots of awesome CV people in Paris (of DINOv2 fame) and Montreal (I-JEPA and such).

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