Ahmed Hendawy | أحمد هنداوى
@AHendawy19PhD. Student at LiteRL & IAS & https://t.co/S8FZOnsAlQ | https://t.co/mYM23wtLXb. Computer Engineering |🇪🇬🇵🇸 🏹
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Marmoush is shining ✨️
How much structure does Robot Learning need? Approaches presented by @GeorgiaChal combine structured robotics priors with learned components Exciting new ideas in a fresh first keynote at @corl_conf!
✈️ This week I will be in Toulouse 🇫🇷 at #EWRL where me and my LiteRL group will present our 6 papers. Come to meet @griesbach_ @RLKallel @AHendawy19 and @Theo_Vincent_ at the poster sessions on Monday and Tuesday! #RL #reinforcementlearning
We got 6 papers accepted at the European Workshop on #ReinforcementLearning (#EWRL)! Congrats to my amazing students and colleagues! See you in #Toulouse! A thread on our papers 🧵
📢 Hiring PhDs & Postdocs for the #ERC SIREN project @CS_TUDarmstadt @TUDarmstadt! Join PEARL Lab to conduct cutting-edge research in robot perception & learning. Apply by Nov 18! 🔗 Info: pearl-lab.com/open-positions/ #Robotics #Jobs #AI #PhDPositions #PostdocPositions #ERCStG
New 20hr bootcamp on Probability & Statistics!!! Videos released weekly but full playlist already posted: youtube.com/watch?v=sQqnia… Probability & Statistics are cornerstones of data science and machine learning. This course rapidly covers the basics and gets into advanced topics.
Another night of horror in the #Gaza Strip. A strike hit a hospital courtyard, burning the tents where people were sleeping. Just before this, an @UNRWA school sheltering families was hit in Nuseirat. That same school was going to be used as a #polio vaccination site today.
This is so f**** scary Do u know how many people live in this area!!!! Video taken from al aqsa hospital in deir el balah
The new egyptian king 🤴 🇪🇬
Do you need a new locomotion policy for every new robot? No! We train one single general locomotion policy for any legged robot embodiment and morphology in our new #CoRL2024 paper. Check out our interactive demo in your browser: nico-bohlinger.github.io/one_policy_to_…
Researchers from @ias_tudarmstadt and @lasr_lab present a novel, open-source event-based optical #tactilesensor called Evetac. By applying this sensor, the researchers are able to create fast and robust closed-loop grasp controllers for manipulation. ieeexplore.ieee.org/document/10598…
Do you need a quick way to compute collision probabilities to ensure the safety of your mobile robot planning algorithm? Take a look at our latest RA-L paper: "Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields" ieeexplore.ieee.org/document/10670…
"One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion" with @NicoBohlinger, Grzegorz Czechmanowski, Maciej Krupka, @piotr_kicki, @KrzysztofTWalas, and @Jan_R_peters ias.informatik.tu-darmstadt.de/uploads/Team/N… The first paper of the INTENTION project!
I am happy to announce that my three submissions to @corl_conf 2024 have been accepted! Many thanks to my incredible collaborators, and I'm looking forward to meeting the community at the main conference and the Locolearn Workshop! Here are the three accepted papers 👇
Huge congrats on the ERC 👏 @GeorgiaChal
🚨Beyond happy and deeply honored to share that my project, Structured Interactive Perception & Learning for Holistic #Robotic Embodied #Intelligence (SIREN), has been awarded an #ERC Starting Grant! 🎉🤖🧜♀️A massive thank you to the @ERC_Research for believing in my vision (1/3)
I'm happy to announce that we will organize the LocoLearn Workshop at @corl_conf 2024 in Munich! If you are interested in learning, active perception, or bioinspired locomotion, join us on Saturday, November 9th, 2024. locolearn.robot-learning.net
This was a big collaboration, with the help of @theo_grune82772, @an_thai_le, @kay_hansel, @AHendawy19, @OlegArenz, @CarloDeramo , @MilesCranmer and @Jan_R_Peters, and Chen, Oliver, Will, Fabian, Tanmay and Martin who aren't on twitter
Our physics-based machine learning survey is out!! 🚨
We recently collaborated with @ABBgroupnews to survey the recent literature on physics-based machine learning ⚡️, with a focus on knowledge- and data-driven inductive biases 🔭 Check out the survey here 👇 and please reach out if we missed anything arxiv.org/abs/2408.09840
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