Michael Lutter
@_mlutter
Researching Robot Reinforcement Learning @BostonDynamics 🤖🧠 . Prev: @DeepMind, @NVIDIAAI, @ias_tudarmstadt & @TU_Muenchen
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My team at Boston Dynamics has open Research Scientist positions! We are hiring full-time and interns. If you are excited about RL & humanoids, we want to get to know you! Research Scientist: bostondynamics.wd1.myworkdayjobs.com/Boston_Dynamic… Research Scientist Intern: bostondynamics.wd1.myworkdayjobs.com/Boston_Dynamic…
The all new electric Atlas is getting ready to do some real work ... 🤖 youtube.com/watch?v=29ECwE…
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All New Atlas | Boston Dynamics
I guess no more backflips for you, HD Atlas 🤖🫡 youtube.com/watch?v=-9EM5_…
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Farewell to HD Atlas
My Ph.D. thesis on combining domain knowledge and machine learning for robotics 🤖 🧠 got finally published in the Springer STAR series. Thanks for the great memories @ias_tudarmstadt & @Jan_R_Peters
If you are attending @ieeeiros, checkout this workshop on RL. I am looking forward to discuss the current advances and problems in RL. 🤖
Contribute to the RL-CONFORM workshop @ieeeiros by Sept. 1! We look forward to a great line-up of speakers, @SheilaMcIlraith, @MatthewGombolay, @QiDou_, @robo_kween, @contactrika, @snikolaidis19, @daniel_s_brown, @_mlutter, Fabio Ramos, Bei Peng, Dana Kulic, Johannes Stork
Our model-based RL paper showing the diminishing returns 📉 of value expansion for off-policy algorithms led by @DPalenicek got accepted at #ICLR2023! 🎉🙃
Very happy my first paper at @ias_tudarmstadt & @Hessian_AI got accepted at #ICLR2023. Thank you to my amazing co-authors @_mlutter, Joao Carvalho and @Jan_R_Peters. „Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning“ (openreview.net/forum?id=H4Ncs…).
The new Atlas Video has been released. It’s time to get started with athletic manipulation!
It’s time for Atlas to pick up a new set of skills and get hands on.
I am very honored to receive the 2022 Georges Giralt Ph.D. Award for the best robotics Ph.D. thesis in Europe from @eu_Robotics at the #ERF2022 . Thanks to @Jan_R_Peters and my colleagues at @ias_tudarmstadt that made this thesis possible! 😁🤖
After 5 successful years at @ias_tudarmstadt, it’s time to move. It was a fun and challenging time with many highlights. We made deep networks physically consistent and taught robots to juggle. Thanks to all colleagues and collaborators. 👋
Last friday I finally defended my PhD on Robot Learning! 😄👨🎓🎉🎊🤖🧠 I want to thank my supervisor @Jan_R_Peters, my colleauges at @ias_tudarmstadt, DeepMind and NVIDIA for the amazing rollercoaster ride during my PhD and the internships.
After two years of virtual conferences, attending a physical conference was amazing. It was great to meet everybody at @corl_conf!
Great start of the #RSSPioneers21 workshop at @RoboticsSciSys with an interesting keynote by @wolfram_burgard. Come check out our posters tomorrow at poster session 0.
We are very excited to host #RSSPioneers21 @RoboticsSciSys Scroll into our Pioneeers' research statements👉tinyurl.com/Rsspioneers2021 Get to know our rising stars and interact with them at the main #RSS2021 interactive poster session on Monday 👉roboticsconference.org/program/poster…
Wenn ihr mehr über Künstliche Intelligenz in der Robotik erfahren wollt, reden wir heute um 14:00 Uhr mit Hessen schafft Wissen auf clubhouse über unsere Forschung an der @TUDarmstadt / @CS_TUDarmstadt
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