{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T07:18:52Z","timestamp":1771571932589,"version":"3.50.1"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,29]]},"DOI":"10.1109\/ssrr68451.2025.11391321","type":"proceedings-article","created":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T20:55:45Z","timestamp":1771534545000},"page":"45-50","source":"Crossref","is-referenced-by-count":0,"title":["Reinforcement Learning-Based Mapless Navigation for Ground Vehicles in Dense Forests Using 3D LiDAR"],"prefix":"10.1109","author":[{"given":"Francesco","family":"Cancelliere","sequence":"first","affiliation":[{"name":"University of Catania,Dept. of Electrical, Electronic and Computer Engineering,Catania,Italy"}]},{"given":"Dario","family":"Guastella","sequence":"additional","affiliation":[{"name":"University of Catania,Dept. of Electrical, Electronic and Computer Engineering,Catania,Italy"}]},{"given":"Giuseppe","family":"Sutera","sequence":"additional","affiliation":[{"name":"University of Catania,Dept. of Electrical, Electronic and Computer Engineering,Catania,Italy"}]},{"given":"Simone","family":"Palazzo","sequence":"additional","affiliation":[{"name":"University of Catania,Dept. of Electrical, Electronic and Computer Engineering,Catania,Italy"}]},{"given":"Giovanni","family":"Muscato","sequence":"additional","affiliation":[{"name":"University of Catania,Dept. of Electrical, Electronic and Computer Engineering,Catania,Italy"}]},{"given":"Concetto","family":"Spampinato","sequence":"additional","affiliation":[{"name":"University of Catania,Dept. of Electrical, Electronic and Computer Engineering,Catania,Italy"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-022-10039-8"},{"key":"ref2","author":"Wijmans","year":"2020","journal-title":"DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i27.35095"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-76424-0_22"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abm6074"},{"key":"ref6","author":"Towers","year":"2024","journal-title":"Gymnasium: A standard interface for reinforcement learning environments"},{"key":"ref7","author":"Schulman","year":"2017","journal-title":"Proximal policy optimization algorithms"},{"key":"ref8","first-page":"859","article-title":"Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation","volume-title":"Proceedings of The 6th Conference on Robot Learning, volume 205 of Proceedings of Machine Learning Research","author":"Truong"},{"key":"ref9","article-title":"Overcoming policy collapse in deep reinforcement learning","volume-title":"Sixteenth European Workshop on Reinforcement Learning","author":"Dohare"},{"key":"ref10","author":"Anderson","year":"2018","journal-title":"On evaluation of embodied navigation agents"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2011.2181684"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341176"}],"event":{"name":"2025 IEEE International Symposium on Safety Security Rescue Robotics (SSRR)","location":"Galway, Ireland","start":{"date-parts":[[2025,10,29]]},"end":{"date-parts":[[2025,10,31]]}},"container-title":["2025 IEEE International Symposium on Safety Security Rescue Robotics (SSRR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11390734\/11391257\/11391321.pdf?arnumber=11391321","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T06:58:46Z","timestamp":1771570726000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11391321\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,29]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/ssrr68451.2025.11391321","relation":{},"subject":[],"published":{"date-parts":[[2025,10,29]]}}}