Mastodawn

I see some startups in #robotlearning continuously releasing new VLA models. I wonder how much of them provide faked benchmarks and fake teleoped demo videos.

nickbalancom Sep 5, 2025

Humanoid robots are officially teaching themselves.
Not following code. Not repeating routines.
They’re figuring things out — in real time.
Boston Dynamics’ Atlas now runs on one unified AI brain that controls its walking, bending, and grabbing. It can even pick up dropped objects—without ever being explicitly programmed to.
This is called emergent behavior.
We’ve seen it with language models… now it’s happening with motion.
And it’s not just Atlas.
#HumanoidRobots #AIInRobotics #RobotLearning

hansamann 🔥❄️🚀 (he/him)Dec 3, 2024

🚀 Join us for a discussion on the latest advancements in robot learning with Oliver Hausdörfer, a PhD student from TUM. We'll cover topics such as robotics, drones, and other real-world applications. @andreasofthings
#robotlearning #AI #automation #realworld #robotics #drones #live

Click here to join the live stream:
https://lnkd.in/eyD2_W5K

This link will take you to a page that’s not on LinkedIn

Show thread

Raffaello Camoriano Aug 22, 2024

🗺 CoRoboLearn is jointly organized with:
- Loris Roveda, Associate Professor @ Politecnico di Milano, Italy & Senior Researcher @ IDSIA USI-SUPSI, Switzerland
- Asad A. Shahid, Researcher @ IDSIA USI-SUPSI, Switzerland
- Yue Hu, Assistant Professor @ University of Waterloo, Canada
- Cheng Tang, Research Assistant @ University of Waterloo, Canada

📲 We are looking forward to meeting you in Munich, stay tuned for details!

#CoRL2024 #Robotics #MachineLearning #RobotLearning #Research #Workshop

Tech Chilli Jun 21, 2024

Stanford’s HumanPlus Robot Learns Skills by Watching Humans: A New Era in Robotics.

See here - https://techchilli.com/news/stanfords-humanplus-robot-learns-skills-by-watching-humans/

#Stanford #HumanPlus #Robotics #AI #Innovation #TechRevolution #HumanoidRobot #FutureTech #RobotLearning #AIResearch #TechInnovation #HumanRobotInteraction #RoboticSkills

Stanford’s HumanPlus Robot Learns Skills by Watching Humans: A New Era in Robotics

Stanford researchers develop HumanPlus, a humanoid robot that mimics human movements and learns new skills by observation. Discover how this innovative robot can perform tasks like playing piano and ping-pong.

Tech Chill

ELLIS Apr 24, 2023

Self-driving cars, logistics, manufacturing, home automation: Autonomous robots are becoming increasingly important for our daily lives. Jan Peters, Director of our program 'ELLIS Robot Learning: Closing the Reality Gap!', gives insights into this field & tips for young scientists seeking a career in this area.

👉 https://ellis.eu/news/ellis-program-robot-learning-closing-the-reality-gap-an-interview-with-one-of-the-directors

#robotlearning #ELLISProgram

ELLIS Program ‘Robot Learning: Closing the Reality Gap!’ - An interview with one of the Directors

The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI researchers. ELLIS also aims to boost economic growth in Europe by leveraging AI technologies.

European Lab for Learning & Intelligent Systems

Markus Wulfmeier Nov 29, 2022

Very excited to announce that Leila Takayama (UCSC) is joining our #RobotLearning workshop at #NeurIPS2022 to talk about:
'Why Robots Need Social Skills'

Please find the video under
https://youtu.be/RWzqGY6jiq4

And join us on the 9.12!

Why Robots Need Social Skills - Leila Takayama

YouTube

Markus Wulfmeier Nov 24, 2022

Another exciting talk for the #RobotLearning workshop at #NeurIPS2022

Katherine Driggs-Campbell & Zhe Huang are joining us to talk about 'Representing Interactions for Robot Navigation'

https://www.youtube.com/watch?v=wf99GVxF5lo&list=PLY_2pH7JtbHRUQZH0D0N68xZpBUlZLLGZ&index=3

Looking forward to the 9th of December!

Representing Interactions for Robot Navigation - Katherine Driggs-Campbell & Zhe Huang

YouTube

Raffaello Camoriano Nov 22, 2022

Pleased to be starting my service as Associate Editor for the IEEE Robotics and Automation Letters, focusing on #RobotLearning. In particular, I will help cover:

- Continual Learning
- Incremental Learning
- Machine Learning for Robot Control
- Reinforcement Learning
- Representation Learning
- Transfer Learning

Looking forward to supporting the development of this exciting area and bringing the #machinelearning and #robotics communities closer together to tackle impactful open problems.

Markus Wulfmeier Nov 22, 2022

Another day, another talk!

(for the #RobotLearning workshop @ #NeurIPS2022)

Sarah Dean and Andrew Taylor are joining us to discuss

'Towards Certifiably Safe Nonlinear Control with Sensor and Dynamics Uncertainties'

https://www.youtube.com/watch?v=tIbsGN6G5O4&list=PLY_2pH7JtbHTKNTM6S2zzsqcip4ICZBSl&index=3

Towards Certifiably Safe Nonlinear Control with Sensor and Dynamics Uncertainties

YouTube