YouTube video by MIT Robotics
MIT Robotics - Robotics Worldwide Workshop
Here is the recording of the Robotics Worldwide Workshop, held at MIT on April 4, 2025: www.youtube.com/watch?v=0OdO... - includes "All Robotics in 90 minutes" lightning talks and a panel discussion on the future of robotics. not for the faint of heart. #mitSparkLab @mitofficial.bsky.social
27.04.2025 16:12 β π 3 π 1 π¬ 0 π 0
This was a lot of fun! Livestream seems to now be a recording of you want to watch.
05.04.2025 12:14 β π 0 π 0 π¬ 0 π 0
I'm very excited to host the Robotics Worldwide Workshop at MIT with Amanda Prorok next week! We have an incredible lineup of roboticists from around the world who will join us for lightning talks, a panel discussion, and a poster session. Join us if you are in the area!
28.03.2025 19:33 β π 6 π 2 π¬ 1 π 0
This is great!
25.02.2025 06:43 β π 0 π 0 π¬ 0 π 0
Here's how I used up all my Sora credits.
First, my number one most impossible video model benchmark, "person blowing out a candle"
11.12.2024 22:00 β π 189 π 39 π¬ 21 π 54
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3 days of keynotes, 10-min paper talks, and 1-min spotlights on the latest research, all free and open to anyone interested! Conference on Robot Learning (CoRL) talks are now online:
youtube.com/watch?v=0joZwiβ¦
#Robotics #DeepLearning #CoRL2024
26.11.2024 04:13 β π 21 π 6 π¬ 1 π 0
I often think of this in the same way as the bitter lesson. If we ignore morphology as a solution parameter, are we just self indulgently toying with puppets while waiting for hardware engineers to put the work in.
26.11.2024 02:33 β π 1 π 0 π¬ 0 π 0
My favourite control textbook is Seborgs process control and dynamics - I feel like those chem eng examples just make everything so much easier to follow.
25.11.2024 23:46 β π 1 π 0 π¬ 1 π 0
Adding my love letter to
arxiv.org/pdf/2304.01315
Empirical Design in Reinforcement Learning
by
Andrew Patterson, Samuel Neumann, Martha White, Adam White
JMLR 25 (2024) 1-63
#ReinforcementLearning
These arenβt the heroes we deserve, but they are the heroes we need.
23.11.2024 13:40 β π 211 π 47 π¬ 7 π 6
You can use this feed to get only mentions bsky.app/profile/did:...
19.11.2024 23:26 β π 28 π 8 π¬ 2 π 6
The case of the missing teaspoons doi.org/10.1136/bmj....
17.11.2024 10:39 β π 1 π 0 π¬ 1 π 1
This also means inequity in reviewing, papers that look good are reviewed by more stringent experienced reviewers, while run of the mill papers go the way of grad students, who tend to give noncommittal reviews for fear of making wrong decisions -> ave conf score of 5, endless revise& resubmit.
16.11.2024 23:11 β π 0 π 0 π¬ 0 π 0
The problem is that it is almost impossible to get a tenured academic to agree to review anything right now. The last paper I handled for RA-L needed 35 requests before securing 3 experienced reviewers. You can maybe get a new assistant prof. or postdoc, but grad students are still the most willing.
16.11.2024 23:00 β π 2 π 0 π¬ 1 π 0
Challenge accepted! Our incredible undergrads have just released a new open quadruped for you to make at home.
youtu.be/vo-NXgQ52jU?...
github.com/MonashRoboti...
15.11.2024 04:50 β π 3 π 1 π¬ 0 π 0
The Onion should buy Elsevier next
14.11.2024 20:28 β π 5433 π 1607 π¬ 62 π 84
This is great!
12.11.2024 20:11 β π 2 π 1 π¬ 0 π 0
Thanks for getting this started!
11.11.2024 15:40 β π 1 π 0 π¬ 0 π 0
Job Search
Looking for an exciting industry collaboration postdoc in intelligent robotics for pharmaceutical applications? Come join us if you're keen to explore human-in-the-loop simulation and digital twins! lnkd.in/gBXFr4Hn
11.10.2024 07:29 β π 1 π 0 π¬ 0 π 0
kashyap7x.github.io
Postdoc at NVIDIA. Previously at the University of TΓΌbingen and CMU. Robot Learning, Autonomous Driving.
Caffeine dependent lifeform with eclectic tastes
Professor of Computing, I do research on robotics and AI. I also ski.
https://robot-learning.cs.utah.edu/thermans
Assistant Professor in Computer Science at UofT.
Associate Professor at #MIT, SPARK Lab Director, Roboticist, interested in how machines see and understand the world
lucacarlone.mit.edu
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Professor of Marketing at NYU Stern School of Business, serial entrepreneur, and host of the Prof G and Pivot Podcasts.
A kinder, gentler AssDean who fired all the support staff to create my own position and gave myself a 200% yearly raise.
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Science writer and author of books including Bright Earth, The Music Instinct, Beyond Weird, How Life Works.
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.