Markus Ryll

Aerial Robotics, Robots, Manipulation, Research, Professor @TUM

[Markus Ryll @MarkusRyll]

Working with Tim has been a real pleasure, both professionally and personally.
This is a milestone well earned—and I’m honored to have been part of his journey. 🎓🤖

#PhDGraduation #TUM #RoboticsResearch

[Markus Ryll @MarkusRyll]

It’s a great pleasure and proud moment to congratulate @TimSalzmann on the successful defense of his PhD thesis at @TUMunich!
We’re celebrating not just this milestone, but years of dedication, hard work—and a truly great time together. #PhDDefense #Robotics

[Markus Ryll @MarkusRyll]

My sincere thanks to Marco Pavone, Johannes Betz and Martin Werner for reviewing Tim’s thesis and their valuable participation in the defense.

@drmapavone @joebeatzhoven @trajcomp

[Markus Ryll @MarkusRyll]

🤖 PhD Opportunity in Aerial Manipulation! 🚁

Our team is seeking a passionate PhD student to join us in the field of aerial robotics.

Requierments: Control, Programming

- Application Deadline: 12.10.2024
- Start Date: 01.01.2025

https://t.co/5OeaFoixUJ

[Katharina Dobs @KathaDobs]

Feeling humbled and excited that I've received the prestigious Heinz Maier-Leibnitz Award from #DFG! 🥳 This is not just a testimony to my research but to the continuous support of my family, friends, colleagues, and mentors. A heartfelt thank you to each and every one of you!

[Markus Ryll @MarkusRyll]

L4CasADi seamlessly integrates optimal control with computer vision models, empowering you to tackle complex problems with ease.

[Link to Colab Example][https://t.co/IQB7IN8Vjh] [Link to paper][https://t.co/jrX04Baxqa]

Credits go to: @TimSalzmann @jonarriza96 @drmapavone

[Markus Ryll @MarkusRyll]

Unlock the power of data-driven models in numerical optimization and optimal control with L4CasADi! :rocket:

Check out our latest example showcasing how L4CasADi can optimize a collision-free trajectory through a learned Neural Radiance Field (NeRF).

#OptimalControl #L4CasADi

[Jon Arrizabalaga @jonarriza96]

Attending @IEEECDC2023 in Singapore? Come to our talks!
◾ Learning for CasADi ➡https://t.co/ToT6qBh174
◾ Pose-Following with Dual Quaternions ➡ https://t.co/JbDKuBzD7G

#CDC23 @MarkusRyll @TimSalzmann

[Markus Ryll @MarkusRyll]

My PhD students @jonarriza96 and @TimSalzmann are presenting their work on Motion Planning and Neural Control at #IROS2023, tomorrow:
- https://t.co/FtSYRPp2ht
- https://t.co/lceFs2UTMn
See you at the posters!
#Robotic #MIRMI #TUMunich

[Georgia Chalvatzaki @GeorgiaChal]

My group @CS_TUDarmstadt has several open #PhD positions on a variety of topics encompassing Interactive #Robot Perception and Learning for Mobile Manipulation Systems -- positions funded by @dfg_public and @HorizonEU
Apply now and join us! https://t.co/HFlGjFfw5m

[Markus Ryll @MarkusRyll]

Unfortunately, the GitHub link in the original post is broken. Here's the correct link: https://t.co/lceFs2UTMn. #robotics #ai #roboticsainews #L4DC #TUMunich #MIRMI #casadi

[Markus Ryll @MarkusRyll]

In our Real-time Neural MPC paper, we leverage network capacities 4000x larger in optimizations. We now release L4CasADi, which enables easy integration of PyTorch models in optimizations on CPU and GPU, supporting fast C code generation and seamless integration in Acados.

[Markus Ryll @MarkusRyll]

https://t.co/VKDjYDYu8Y

[Markus Ryll @MarkusRyll]

I am very happy to see our Real-Time Neural MPC article is being featured on TechXplore: https://t.co/9fiSPBy4kD
@TimSalzmann @kaufmann_elia @jonarriza96 @drmapavone @davsca1

[Markus Ryll @MarkusRyll]

I am very happy to see our Real-Time Neural MPC article is being featured on TechXplore: https://t.co/9fiSPBy4kD
@TimSalzmann @kaufmann_elia @jonarriza96 @drmapavone @davsca1

[Bayerischer Landtag @Landtag_Bayern]

Im Department Aerospace and Geodesy der @ed_tum informieren sich die Abgeordneten über Forschung im "Space Valley":
🚀Raumfahrtantriebe & Mobilität
🤝Arbeitsgemeinschaft @WARR_TUM
🌳Resilienz des Amazonas
🫧Wasserstoffantrieb
⚙️Hochagile Fahrzeuge
🌕Lunar Volatiles Scout

[AirLab @AirLabCMU]

We are excited to announce the Tartan Planning Series (https://t.co/qLFC4YtEXJ), an interactive series of talks and learning on planning for robotics!

Sign up (https://t.co/KEQyVSGvwt) to receive reminders and Zoom links to participate.

[Markus Ryll @MarkusRyll]

Check out our RA-L Paper: https://t.co/ay0SzkHJZx, https://t.co/TlWzDuVRUd
#roboticsainews #TUM

[Markus Ryll @MarkusRyll]

With Real-time Neural MPC you can efficiently integrate large, complex neural network architectures as dynamics models in an MPC-pipeline. Compared to prior implementations we can leverage neural networks with a 4000x larger parametric capacity in a 50Hz real-time framework.

[Markus Ryll @MarkusRyll]

I feel very honored that my chair has been awarded with three teaching #Awards by the Student Council for Aerospace and Geodesy of #TUM. Congratulations to @jonarriza96. It is a pleasure working with great students and collegues.