1/10 .Mark Rober spent the last 2 months traveling the world to tell Zipline's story. This is what he found. [Mark’s full video at end of 🧵]”

I am organizing a challenge at IJCAIconf this year! 👇 Submit your favorite algorithms online ijcai-23.dfki-bremen.de/competitions/a… Let's figure out together what AI methods work best for "Athletic Intelligence" 🤸‍♀️ in the real world!

There are certain golas you cannot achieve, no matter how hard you try. Turns out that you are just optimizing the wrong optimization objective.

I have officially started my visit at Biomimetic Robotics Lab led by Prof. Sangbae Kim at #MIT. Looking forward to push the limit of vision-based legged locomotion.

If you are attending #IROS2023, join our workshop on Learning Robot Super Autonomy, in which I will talk about our latest findings in comparing Reinforcement learning and optimal control. Room: 330B, Time: 12:00 pm Program: wp.nyu.edu/workshopiros20…

Actor-Critic Model Predictive Control extends the capabilities of standard MPC by incorporating learning mechanisms that allow for the direct optimization of complex, task-level objectives.

Replay Buffer is a key component in off-policy training. Do you know that you can also used past experiences to design an Initial State Buffer, through self supervised learning. It can dramatically improve exploration!

We are thrilled to share our groundbreaking paper published today in nature: "Low Latency Automotive Vision with Event Cameras." Paper: nature.com/articles/s4158… Video: youtu.be/dwzGhMQCc4Y Code & Dataset: github.com/uzh-rpg/dagr Frame-based sensors such as the RGB cameras

Happy Friday, robotics researchers! We are 2 weeks away from the #RSSPioneers2024 workshop! Research statements for this year's cohort are available online: sites.google.com/view/rsspionee…. We will announce our speakers in the coming weeks – stay tuned! #RSSPioneers #RSS2024

I will present my research on reinforcement learning, optimal control, and differentiable simulation tomorrow at several workshops. Also, don’t miss out the opportunity to see live drone racing demos.

Great workshop. Highly recommended.

Autonomous drone racing demo with direct Pixel to Action and Deep RL. Robotics: Science and Systems

Very insightful talk. I am sure many of the findings are also related to robotics. For example, the idea of knowledge storage and extraction is akin to robot skills learning and task adaptation. Then, what is the universal law for robot pertaining and fine-tuning?

We are hiring multiple PhD students and Postdocs: lnkd.in/eSeJQDdg Are you ready to take your research career to the next level? We are seeking highly motivated PhD students and postdoctoral researchers to join our lab and make a significant impact on real-world

Amazing achievement!

Swarm navigation at 20 m/s with no communication, no state estimation, & on a $21 computer? This paper combines deep learning + differentiable sim for zero-shot sim-to-real flight. It is an underrated breakthrough. Paper: arxiv.org/abs/2407.10648 #naturemachineintelligence

Today, We’re launching Genesis AI — a global physical AI lab and full-stack robotics company — to build generalist robots and unlock unlimited physical labor. We’re backed by $105M in seed funding from Eclipse Ventures, Khosla Ventures, Bpifrance, HSG, and visionaries

We started Genesis AI to solve general-purpose robotics and unlock unlimited physical labor. We’re backed by $105M from Eclipse Ventures, Khosla Ventures, HSG, Bpifrance, Alven, Northzone, Kearny Jackson, Fly Ventures, Eurazeo, Drysdale Ventures, Motier Ventures, Alexandre Berriche,

We’re excited to finally share what we’ve been assembling over the past few months! This is a field full of excitement and hope—but also one that’s constantly surrounded by noise and restlessness. In the waves of technological change, trends come and go, bubbles rise and burst,