1. Publications

Journals and Conferences:
  • “Learning to Explore Indoor Environments using Autonomous Micro Aerial Vehicles; Yuezhan Tao, Eran Iceland, Beiming Li, Elchanan Zwecher, Uri Heinemann, Avraham Cohen, Amir Avni, Oren Gal, Ariel Barel, Vijay Kumar; arXiv:2309.06986 [cs.RO]  (accepted to ICRA-2024, proceedings ref. coming soon)
  • “Reinforcement Learning Based Decentralized Weapon-Target Assignment and Guidance”; Gleb Merkulov, Eran Iceland, Shay Michaeli, Yosef Riechkind, Oren Gal, Ariel Barel, and Tal Shima. In AIAA SCITECH 2024 Forum, p. 0125. 2024; https://arc.aiaa.org/doi/abs/10.2514/6.2024-0125 (download a free copy)
  • “Multi-Agent Distributed and Decentralized Geometric Task Allocation; Michael Amir, Yigal Koifman, Yakov Bloch, Ariel Barel, Alfred M. Bruckstein, 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 8355-8362; doi: 10.1109/CDC49753.2023.10383740 (download a free copy)
  • “Stress-Adaptive Training: An Adaptive Psychomotor Training According to Stress Measured by Grip Force”; Yotam Sahar, Michael Wagner, Ariel Barel, and Shraga Shoval (2023); Paper presented at the 23rd National Industrial Engineering & Management Conference IE&M 2023, Ariel.
  • “Stress-Adaptive Training: An Adaptive Psychomotor Training According to Stress Measured by Grip Force”; Yotam Sahar, Michael Wagner, Ariel Barel, and Shraga Shoval (2022, November). In Sensors – Multidisciplinary Digital Publishing Institute (MDPI); https://www.mdpi.com/1424-8220/22/21/8368
  • “Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping”; Elchanan Zwecher, Eran Iceland, Sean R. Levy, Shmuel Y. Hayoun, Oren Gal, Ariel Barel. In 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, 2022 (pp. 10542-10548). IEEE; https://ieeexplore.ieee.org/abstract/document/9811861 (download a free copy)
  • “Probabilistic Gathering of Agents with Simple Sensors”; Ariel Barel, Thomas Dagès, Rotem Manor, Alfred M. Bruckstein, SIAM Journal on Applied Mathematics, 2021, 81.2: 620-640; https://doi.org/10.1137/20M133333X (download a free copy)
  • “Local Interactions for Cohesive Flexible Swarms”; Rotem Manor, Ariel Barel, Alfred M. Bruckstein (IRC 2020 XIV. Conference, Tokyo 2019); arXiv:1903.09259 [cs.MA]
  • “Probabilistic Gathering of Agents with Simple Sensors”; Ariel Barel, Rotem Manor, Alfred M. Bruckstein (Poster, Conference on Collective Behavior, SMR 3201, Trieste 2018); arXiv:1902.00294 [cs.MA]
  • “On Steering Swarms”; Ariel Barel, Rotem Manor, Alfred M. Bruckstein. Swarm Intelligence ANTS, Rome 2018. Lecture Notes in Computer Science, vol 11172. Springer, Cham; https://doi.org/10.1007/978-3-030-00533-7_35 (download a free copy)
Preprints:
  • “Distributed and Decentralized Control and Task Allocation for Flexible Swarms”; Yigal Koifman, Ariel Barel, Alfred M. Bruckstein; arXiv:2405.13941 [cs.MA] (Submitted to Swarm-Systems.org 2024) (download a free copy)
  • “Learning to Explore Indoor Environments using Autonomous Micro Aerial Vehicles; Yuezhan Tao, Eran Iceland, Beiming Li, Elchanan Zwecher, Uri Heinemann, Avraham Cohen, Amir Avni, Oren Gal, Ariel Barel, Vijay Kumar; arXiv:2309.06986 [cs.RO]
  • Multi-Agent Distributed and Decentralized Geometric Task Allocation”; Michael Amir, Yigal Koifman, Yakov Bloch, Ariel Barel, Alfred M. Bruckstein; arXiv:2210.05552 [cs.MA]
  • “Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping”; Elchanan Zwecher, Eran Iceland, Sean R. Levy, Shmuel Y. Hayoun, Oren Gal, Ariel Barel; arXiv:2109.08490 [cs.LG]
  • “Deep-Learning-Aided Path Planning and Map Construction for Expediting Indoor Mapping”; Elchanan Zwecher, Eran Iceland, Shmuel Y. Hayoun, Ahavatya Revivo, Sean R. Levy, Ariel Barel; arXiv:2011.02043 [cs.LG]
  • “Local Interactions for Cohesive Flexible Swarms”; Rotem Manor, Ariel Barel, Alfred M. Bruckstein; arXiv:1903.09259 [cs.MA]
  • “Probabilistic Gathering of Agents with Simple Sensors”; Ariel Barel, Rotem Manor, Alfred M. Bruckstein; arXiv:1902.00294 [cs.MA]
  • “On Steering Swarms”; Ariel Barel, Rotem Manor, Alfred M. Bruckstein; arXiv:1902.00385 [cs.MA]
  • “COME TOGETHER: Multi-Agent Geometric Consensus (Gathering, Rendezvous, Clustering, Aggregation)”; Ariel Barel, Rotem Manor, Alfred M. Bruckstein (Tech report, Technion CIS, 2016); arXiv:1902.01455 [cs.MA]
Theses