Ritvik Singh ✓

@ritvik_singh9

PhD student @berkeley_ai. prev. @NvidiaAI, @UofT

1 516Followers

371Following

151Posts total

407KViews on collected posts

Neueste Beiträge

Ritvik Singh ✓@ritvik_singh918 Jun

@ritvik_singh9 @arthurallshire @Cinnabar233 @adamrasb @redstone_hong @davidrmcall So happy to be able to help contribute to this amazing work! 1.1K views · 8 likes · 0 reposts · 0 replies Open on X →

Ritvik Singh ✓@ritvik_singh917 Jun

Shout out to our collaborators @xdofai -- see their tweets here and also congrats on their company announcement: https://t.co/Oa3YqUzBaw 3.3K views · 18 likes · 1 reposts · 0 replies Open on X →

Ritvik Singh ✓@ritvik_singh917 Jun

This would not have been possible without the support from Amazon FAR or our amazing mentors @akanazawa, @GuanyaShi, @pabbeel, @peterxichen, @rocky_duan, @JitendraMalikCV, @phillip_isola 2.3K views · 19 likes · 1 reposts · 1 replies Open on X →

Ritvik Singh ✓@ritvik_singh917 Jun

We develop lightweight robot infra, enabling things such as DAgger and intervention data to augment our large scale dataset. This allows us to experiment with post-training our checkpoints to enable dexterous tasks such as airpod insertion https://t.co/ay2vWkrVQS

0:38

3K views · 24 likes · 3 reposts · 1 replies Open on X →

Ritvik Singh ✓@ritvik_singh917 Jun

In addition to real data, we have simulation data. Using this data, we show sim/real correlation. https://t.co/uF0qJ82nwE

0:14

5K views · 31 likes · 2 reposts · 1 replies Open on X →

Ritvik Singh ✓@ritvik_singh917 Jun

Check out our paper, more videos, and our more than 3.5K hour dataset here https://t.co/J4XNCclgS8 7.1K views · 33 likes · 4 reposts · 1 replies Open on X →

Ritvik Singh ✓@ritvik_singh917 Jun

One interesting observation we find is across different model classes, training flow loss and validation action error correlate with real world success, while we did not observe any statistically significant correlation between validation flow loss and real world success. https:/

4.5K views · 24 likes · 1 reposts · 2 replies Open on X →

Ritvik Singh ✓@ritvik_singh917 Jun

Introducing ABC: open data, training, and infrastructure for robotics. We release the largest teleop dataset to date, and extensively investigate design decisions, pretraining, and post-training techniques. @arthurallshire @Cinnabar233 @adamrasb @redstone_hong @davidrmcall http

2:51

359.9K views · 733 likes · 112 reposts · 34 replies Open on X →

Ritvik Singh ✓@ritvik_singh917 Jun

We are proud to release ABC-130K, the largest open bimanual manipulation dataset. ABC-130K includes 130K+ trajectories covering 200 complex manipulation tasks. All are performed on a low-cost bimanual rig (YAM by I2RT). The data is available under the highly permissive Apache h

20.9K views · 106 likes · 22 reposts · 11 replies Open on X →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

20.9K17 Jun

359.9K

4.5K

7.1K

2.3K

3.3K

1.1K18 Jun

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.70%17 Jun

0.26%

0.63%

0.54%

0.68%

0.95%

0.90%

0.58%

0.76%18 Jun

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes55.1%996 in total

Reposts8.1%146 in total

Replies2.8%51 in total

Quotes2.9%52 in total

Bookmarks31.1%563 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Neueste Beiträge

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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