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I'm going to be presenting this work (which is also published in RA-L) at #IROS2022 on Tuesday, Oct. 25! Come by or get in touch if you're interested, and check out the project page: robotic-esp.com/papers/thomaso…

The Workshop on Evaluating Motion Planning Performance is underway!

Congratulations to Rice CS faculty members Lydia Kavraki and Dr. Marcie O'Malley on being named to the iROS list of 35 top women scientists in #robotics, energy and science. The announcement was made at the IROS2022 Conference in Kyoto. #iros2022 bit.ly/3Fivtca

Kavraki Lab's Zachary Kingston was a finalist for the "Best Paper Award for Industrial Robotics with Real-World Applications" at #IROS2022! Congratulations to Zak!

Really excited about our work with my collaborators Michael Welle and Martina Lippi in IROS2022 on learning state representations for Visual Task Planning in the presence of variations that are task irrelevant. Paper: arxiv.org/abs/2109.06737 Website: state-representation.github.io/web/

Excited to attend #ICRA2023 this week! 🤖 I will be presenting my ongoing work on automatic skill learning/transfer for life-long task and motion planning (w/ Kavraki Lab & Moshe Vardi). Catch me on Wednesday morning's poster session and at the Compositional Robotics workshop Friday.

How can you teach a robot of the future the recipe for apple pie? Check our (Shlok Sobti Lydia Kavraki) work at IEEE ICRA on inference of temporal tasks from demonstrations using experiment design. Kavraki Lab ANU School of Computing @anucecc Rice University #robotics #ai #hri

Choosing optimal placements and grasps can make a difference in cluttered environments for TAMP! If you are at #ICRA2023 in London, check out our poster presentation: Tue 05/30@3:00pm (Pod 40). Amazing collaboration Kavraki Lab, Rahul Shome, @Tianyang_Pan, Zachary Kingston

Rice CS team helps robots rearrange objects without gripping them in a new paper at #ICRA2023. The work is a collaboration between faculty members Kaiyu Hang & Lydia Kavraki, led by CS PhD student Kejia Ren with CS PhD student Podshara Chanrungmaneekul. bit.ly/3Jtuabq

Welcome 2023-24 MolSSI Software Fellow, Anja Conev @ConevAnja, a member of the Kavraki Lab at Rice U., who will be "developing a DINC-Ensemble toolkit for accelerated ensemble docking of large flexible ligands" during her year-long fellowship with us. Congratulations Anja! 👏😀

Rice CS' Kavraki Lab presented 4 #ICRA23 #robotics & automation papers. “It's exciting to see our team members pushing the envelope...Few robotics & AI labs share this kind of access to top researchers with such different areas of expertise,” said Kavraki. bit.ly/3rQD78G

Our pleasure too!

We had a blast attending #csbw2023 today at #ACMBCB2023 ACM BCB! Many great talks on structural bioinformatics in the post-AlphaFold2 era. Our very own Felix Quintana presented his work on using Large Language Models and protein structure to predict pathogenicity. Check it out!

I am going on the academic job market! 🧑‍🎓 My research focuses on developing robot cognition 🤖 Among things, I contributed AI techniques to improve task & motion planning, decision making, and experience transfer. If I might be a good fit for your department, please reach out!

This week you can find me in-person at #IROS2023, where I'll be co-organizing the workshop on “Task and Motion Planning: from Theory to Practice” (w/ Neil Dantam, Federico Pecora, and Lydia Kavraki) Check out our phenomenal line-up of speakers here: dyalab.mines.edu/2023/iros-work…

At #IROS2023? Come check out this forward-looking work from Rahul Shome and Zachary Kingston interactions between robot motion planning and privacy! Today at 14:42 in the afternoon "Motion and Path Planning" session.

If you use sampling-based motion planning, you'll want to check out this exciting new work from Wil Thomason @ ICRA 2024 and Zachary Kingston