Joni Rakipi

co-founder @april_robotics

[Joni Rakipi @jonirakipi]

Egocentric camera alone is not enough to capture fine grained dexterity. We built an affordable and robust glove + headset that fix this problem.

If you are tired of occlusions, motion blur, bad lighting, and noisy keypoints, check out our sample dataset (link below) and dm me.

[Joni Rakipi @jonirakipi]

@DominiqueCAPaul So cool!

[Junyao Shi @JunyaoShi]

Unpopular fact: 90% of data companies collecting robotics data are doing it wrong. And most don’t even know it.

[Jitendra MALIK @JitendraMalikCV]

I want to offer some unsolicited advice to computer vision researchers jumping into robotics. Don't focus too much on VLMs, VLAs etc. That's fine, but the real action is at the sensorimotor level. Most of the open problems in robotics are in manipulation, which is about hand-object interaction, and contacts and forces are central. Proprioception and tactile sensing are as important as vision. Don't get seduced by cherry-picked demos. You can't do robotics without doing robotics.

[Joni Rakipi @jonirakipi]

lmao

[Alexander Spiridonov @aspiridon0v]

wait, how did my demo from 8 months ago end up in rando yc company launch 😂

[Joni Rakipi @jonirakipi]

@babugi28 Congrats Raj! LFG!!🔥

[Paweł Budzianowski @pfbudzianowski]

I couldn't agree more, the best part is that the inbound we experience at @lutecompany is outstanding. So there is little excuse to not just go and deploy

[Shivani @shivani_3000]

micro hand movements contain hundreds of interactions — physical sensors on the hand are crucial to capturing it
these datasets inform training accurate ‘movement’ models. true human labor automation! robotic surgery, slicing onions, assembling your cabinet

[Joni Rakipi @jonirakipi]

@Florian_Dilemma Yes

[Joni Rakipi @jonirakipi]

april glove always knows 👀

[Joni Rakipi @jonirakipi]

human data collection with gloves has always been the answer

[Genesis AI @gs_ai_]

We are back. After one year of quiet building.

Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability.

For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans.

Solving it means rethinking the whole stack from the ground up:

- A robotics-native foundation model.
- A 1:1 human-like robotic hand.
- A noninvasive data collection glove for motion, force, and touch.
- A simulator that turns weeks of experiments into minutes.

GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm.

Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on)

We are approaching the endgame for robotics.

And this is just a beginning.

[Joni Rakipi @jonirakipi]

@nurvai_ai no depth needed!

[Joni Rakipi @jonirakipi]

@astridwilde1 very very soon 😋

[Gowthami @gowthami_s]

Robotics is more cinema than science these days. 🤦‍♀️

[Joni Rakipi @jonirakipi]

@robindchnt Could you please elaborate? Do you mean taste in design or applications?

[LeRobot @LeRobotHF]

Releasing the Unfolding Robotics blog!

Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours.

Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the engineering.

We’re sharing everything: code, data, and details in the blog → https://t.co/bZ8NXw0CZh

[Joni Rakipi @jonirakipi]

@hhua_ How do i get in

[Joni Rakipi @jonirakipi]

@jang_yoel @nvidia @DrJimFan @yukez Your work at GEAR has been inspirational. All the best in your next adventure.

[Joni Rakipi @jonirakipi]

@irmakkguzey Amazing work and in the right direction to solve a very important problem which is the embodiment gap. Congratulations!

[Joni Rakipi @jonirakipi]

@KyberLabsRobots awesome

[Joni Rakipi @jonirakipi]

@chichengcc Coming in person?