Ken Goldberg

@Ken_Goldberg · California · joined 13 Nov 2009

Artist and Engineering Prof @UCBerkeley, Co-Founder @AmbiRobotics & @JacobiRobotics. Interests: robots, rockets, redwoods, rebels.

21 563Followers

7 896Following

6 998Posts total

60.4KViews on collected posts

Latest posts

Ken Goldberg@Ken_Goldberg2 Sep

Some people are still skeptical about robot videos? 6.5K views · 15 likes · 2 reposts · 3 replies Open on X →

Ken Goldberg@Ken_Goldberg1 Sep

“I’ve been thinking about this gap for a few years, and then something new [Agentic Robotics] came along in late Fall 2025. As usual, it was my students who brought it to my attention…” @letian_fu @uynitsuj @Shuangyu0_0Xie @keplerccccc @jackyliang42 @UksangYoo 4.9K views · 27 likes · 7 reposts · 1 replies Open on X →

Ken Goldberg@Ken_Goldberg1 Sep

We spoke to AI Pioneer @Ken_Goldberg on the clash of cultures within robotics, his career bridging art and science, and the meteoric rise of agentic robotics. https://t.co/ilHllVw5mX 5.2K views · 5 likes · 0 reposts · 1 replies Open on X →

Ken Goldberg@Ken_Goldberg27 Aug

Thank you, York! Your clarity on these points is very much appreciated. 5.9K views · 24 likes · 4 reposts · 1 replies Open on X →

Ken Goldberg@Ken_Goldberg27 Aug

We’ve seen plenty of impressive robotics demos. But now the bar must move higher: robots must create real value in the real world — and that value must scale. For us, the real test is not whether a robot can complete a task once. It is whether customers get enough value that 12.9K views · 66 likes · 12 reposts · 3 replies Open on X →

Ken Goldberg@Ken_Goldberg26 Aug

Fun acronym for an exciting approach to learning efficient industrial package stacking — a challenge for physical AI because it’s a 3D version of the popular Tetris game, known to be NP-Hard. 5.7K views · 26 likes · 5 reposts · 1 replies Open on X →

Ken Goldberg@Ken_Goldberg26 Aug

Introducing CARGO: an agentic Physical AI model for robotic stacking, trained with Sim2Real RL. Already deployed in customer operations, delivering production-grade density, speed, and reliability. Read the research: https://t.co/JPcE9gCh7f https://t.co/RBGyXfFyPD 6.3K views · 19 likes · 4 reposts · 3 replies Open on X →

Ken Goldberg@Ken_Goldberg22 Aug

I agree w/ most of this with one addition: Agentic Robotics: https://t.co/LY5cMlNFtS 13.1K views · 24 likes · 2 reposts · 0 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views6 090this account924median for 10K–100K

Reach, %28.24%this account3.62%median for 10K–100K

Engagement, %0.46%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	6 090	924	6.59×
Reach (views ÷ followers)	28.24%	3.62%	7.80×
Engagement rate	0.46%	1.52%	0.30×

Others in this range → Compare with another account → How these benchmarks are built →

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

13.1K22 Aug

6.3K26 Aug

5.7K

12.9K27 Aug

5.9K

5.2K1 Sep

4.9K

6.5K2 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.20%22 Aug

0.43%26 Aug

0.56%

0.65%27 Aug

0.49%

0.13%1 Sep

0.71%

0.31%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes63.2%206 in total

Reposts11.0%36 in total

Replies4.0%13 in total

Quotes1.5%5 in total

Bookmarks20.2%66 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.