We will present the paper "Open-loop POMDP Simplification and Safe Skipping of Replanning with Formal Performance Guarantees” at WAFR 2026 next week.
https://t.co/5JdjGOGoHr
Today was the PhD ceremony at the Technion, and I'm truly excited to congratulate three recent PhD graduates from @ANPL_Technion:
- Dr. Moshe Shienman
- Dr. Andrey Zhitnikov
- Dr. Moran Barenboim (not in the photo)
Good luck in all your future endeavors!
🚀 Happy to share my recent Robotics Seminar presentations from MIT and Northeastern University!
📄 Slides: https://t.co/feK6n1z3o4
🎥 Video Recording (from NEU): https://t.co/TC5YxTaNDH
🔗 Explore more about our research on the ANPL website:
https://t.co/Fn4jNjQfKw
Had a great time visiting MIT and delivering a robotics seminar, where I presented some of our research from the @ANPL_Technion !
Thanks to @lucacarlone1, Jared Strader, and Lorenzo Shaikewitz for hosting me and for the perfect organization of the visit.
It was a great experience to organize and Chair the AI & Beyond Robotics conference at the Technion. We were thrilled to host ~370 attendees from academia and industry! I extend my heartfelt gratitude to all the speakers who made this event successful.
@TechAITechnion
I’m thrilled to invite you to the AI & BEYOND: Tech·AI Robotics Conference on Feb. 5 @Technion!
Join us for a day of groundbreaking insights, inspiring talks, and networking with leaders in AI and robotics:
https://t.co/0HKhnDZVIw
Excited to chair this conference!
Video presentation of our IROS'24 paper "A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces".
https://t.co/mfb4K8AmEy
Video presentation of our IROS'24 paper "Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs".
https://t.co/inIMT65LbB
Moshe Shienman's PhD seminar on "Structure Aware Probabilistic Inference and Belief Space Planning with Performance Guarantees":
https://t.co/DERgylwRJN
Andrey Zhitnikov's Ph.D. seminar on "Simplification for Efficient Decision-Making UnderUncertainty with General Distributions":
https://t.co/vAcoeBQVnj