Gregory Stein
@GregoryJSteinAssistant Prof. @GMUCompSci. Recent PhD grad from @MIT_CSAIL. Work at the intersection of #Robotics and #MachineLearning.
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Excited to announce the open source release of my lab's robot learning codebase 🤖! It replicates *6 papers' worth* of long-horizon planning under uncertainty experiments, each with a single Make command, and more to come shortly! 🧵1/8 github.com/RAIL-group/RAI…
Most student authors (or other first time BibTeX users) don't realize that extra curly brackets around an {ACRONYM} are needed to preserve capitalization. It's *such* a small thing, but it makes clear the bibliography hasn't been proofread (and doesn't look good in a thesis 👨🎓)
Everyone in robotics should give the new US Robotics Roadmap a read. Happy to have been part of this conversation!
The 2024 US Robotics Roadmap is out. Check out the perspective and recommendations at hichristensen.com/pdf/roadmap-20…
On my way to Baltimore to attend the NSF FRR/NRI PI meeting and excited to share some recent work and talk robotics for the next couple days 🤖. Be sure to say hello if you see me!
Amazing how quickly a huge project can go from high-effort-not-nearly-done to *done*. Been working on a grant for weeks and putting time towards it nearly every day and then suddenly 🎉 every section is drafted, every figure made, no more todo items... 🫠
With all the acceptance news RE @ieee_ras_icra, my lab got... 0 papers accepted!🙃 A reminder that not all good papers get accepted & rejection can be an opportunity for further improvement. Still proud of my lab's work and excited to share (just a bit later than expected)!
Until the Apple Vision Pro lets me quite literally surround myself with Emacs buffers, I don't think I'll be getting one.
Just got back from a great visit to @ASU (thanks to @nakulgopalan for hosting me!) where I talked about some of my lab's ongoing work in making long-horizon planning in partially revealed environments more performant and reliable.
My student @Raihan_Arnob will be presenting our #IROS2023 paper this afternoon! Stop by (or read our blog post linked below) if you’re interested in effective and reliable long-horizon navigation in unmapped building-scale environments.
Catch me + my professor @GregoryJStein at #IROS2023 🤖 this afternoon about our paper "Improving Reliable Navigation under Uncertainty Via Predictions Informed by Non-Local Information" for those interested in long-horizon navigation in partial maps.
Off to Detroit for #IROS2023 🤖! My lab will be presenting three papers during the conference. Feel free to reach out or track me down if you'd like to say hi or hear more about our work.
I'm really excited for our upcoming #CoRL2023 workshop on learning effective abstractions for planning (LEAP)! The deadline to submit a paper is coming up quickly (Sep 30). We're accepting submissions in both the CoRL or ICRA formats. Hope to see you there!
5 days left!! Consider submitting your work on learning abstractions for decision-making in robotics in our (@tomssilver, @davidpaulius, @_ericrosen, @GeorgiaChal, Beomjoon Kim) workshop #LEAP at #CoRL23.
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