Welcome!
The Autonomous Navigation and Perception Lab performs research related to single and multi-robot autonomous perception, navigation and planning under uncertainty in the context of mobile robotics. Research in the lab is highly multidisciplinary, involving both fundamental theoretical studies and experimental verification. Please visit Research and Publications pages to see ongoing research activities. The lab was founded by Assoc. Prof. Vadim Indelman in 2014.
We are always looking for highly-motivated individuals to join our group, see details here.
Recent News & Updates
@ANPL_Technion
Feb 27
A preprint entitled "Accelerated Online Risk-Averse Policy Evaluation in POMDPs with Theoretical Guarantees and Novel CVaR Bounds" is now available on arXiv.
arxiv.org/abs/2602.23073
Feb 27
A preprint summarizing our POMDP Open Source Package is now available on arXiv: "POMDPPlanners: Open-Source Package for POMDP Planning".
arxiv.org/abs/2602.20810
Jan 29
A preprint entitled "Online Risk-Averse Planning in POMDPs Using Iterated CVaR Value Function" has been published on arXiv:
arxiv.org/abs/2601.20554
Dec 25
A preprint entitled "Towards Optimal Performance and Action Consistency Guarantees in Dec-POMDPs with Inconsistent Beliefs and Limited Communication" has been published on arXiv:
arxiv.org/abs/2512.20778
@vadim_indelman
Jan 29
Pleased to share the recording of my Colloquium talk at the Technion from December 2025:
www.youtube.com/watch?v=A5-…
Jan 14
We’re excited to present our paper "𝐎𝐧𝐥𝐢𝐧𝐞 𝐑𝐨𝐛𝐮𝐬𝐭 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 𝐮𝐧𝐝𝐞𝐫 𝐌𝐨𝐝𝐞𝐥 𝐔𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲: 𝐀 𝐒𝐚𝐦𝐩𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡" next week at AAAI2026!📄 Preprint:
arxiv.org/pdf/2509.10162
Sep 04
Today was the PhD ceremony at the Technion, and I'm truly excited to congratulate three new 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!
May 29
🚀 Happy to share my recent Robotics Seminar presentations from MIT and Northeastern University!
📄 Slides: lnkd.in/ernvECUU
🎥 Video Recording (from NEU): lnkd.in/eSihT4_K
🔗 Explore more about our research on the ANPL website:
lnkd.in/dW6zmnjK pic.x.com/o9jYfxCXTn
We gratefully acknowledge our funding sources over the years:
