Frederik Ebert

Founder and CEO of Emancro Robotics

[Frederik Ebert @febert8888]

🚀 I’m excited to share a big milestone for Emancro!

We’ve successfully piloted our AI-powered robot at one of the leading US hospitals taking on one of the most critical and error-prone hospital logistics tasks: medication cabinet restocking.
At the core is GEDIA — our proprietary Generalizable Dexterous Intelligent Agent that gives our robots the ability to adapt and perform complex tasks at scale.

👉 Watch the robot in action: (https://t.co/g925s2L4Tx)
👉 Learn more about Emancro: (https://t.co/4k9EKUfiAq)

And this is only the beginning 🤖. We’re already developing our next-gen robot to expand into medical supply distribution, lab sample logistics, food, and linen services — on track to automate the majority of logistics tasks in hospitals and beyond.

[Sergey Levine @svlevine]

We've updated Bridge Data with 33k robot demos, 8.8k autonomous rollouts, 21 environments, and a huge number of tasks! Check out the new Bridge Data website: https://t.co/g4hcGEglep

The largest and most diverse public dataset of robot demos is getting bigger and bigger!

[Frederik Ebert @febert8888]

Please find more information here: https://t.co/VFGVnpMg8a

[Frederik Ebert @febert8888]

@Tianyi_Zh @ancadianadragan We will post a link to the YouTube live-stream on the event-website I just tweeted. If you want to be a student speaker please email me: [email protected]. You can also share your thoughts with everyone by filling out the questions in the GoogleForm linked on the website.

[Sergey Levine @svlevine]

We developed a touch-sensing robotic "thumb," extending on the GelSight design, that can sense contacts on multiple sides, and use deep nets to learn how to insert a plug into an outlet.

w/ A. Padmanabha, F. Ebert, S. Tian, @RCalandra, @chelseabfinn

https://t.co/t9LmgIs8qo

[Chelsea Finn @chelseabfinn]

Learning to grasp & insert a plug with only tactile feedback, using a bright new sensor based on the GelSight design.
https://t.co/cPlSimGndE

w/ Akhil Padmanabha, @febert8888, Stephen Tian, @RCalandra, @svlevine

[Sergey Levine @svlevine]

RoboNet: a new large-scale dataset collected across multiple robots, labs, viewpoints, and objects, for studying generalization of predictive models and controllers across different robots!

https://t.co/si42INu3gj
https://t.co/RGlNrsMWBi

video:
https://t.co/KxtoYZKJLA

[Chelsea Finn @chelseabfinn]

Tired of your robot learning from scratch? We introduce RoboNet: a dataset that enables fine-tuning to new views, new envs, & entirely new robot platforms.
https://t.co/yU7QQF1gnq
https://t.co/5yHf53BnyV

w/ Dasari @febert8888 Tian @SurajNair_1 Bucher Schmeckpeper Singh @svlevine

[Frederik Ebert @febert8888]

Check out our work on "Manipulation by Feel: Touch-Based Control with Deep Predictive Models". https://t.co/TrC0kfwYqu

[Frederik Ebert @febert8888]

@neuroecology Thloonlpp
Llol

[Frederik Ebert @febert8888]

Check out our work on video-prediction based robotic manipulation:

[Sergey Levine @svlevine]

Model-based RL, from pixels, controlling a robot and generalizing to new objects (clothing, toys, etc.). All trained with unsupervised interaction!

This blog post, and accompanying paper, summarize two years of our model-based RL research: https://t.co/GekD5GOTGv