{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T20:34:34Z","timestamp":1776976474737,"version":"3.51.4"},"reference-count":0,"publisher":"Slovenian Association Informatika","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJCAI"],"abstract":"<jats:p>For autonomous robotic systems, real-time establishing paths in dynamic situations is still a major difficulty. Current Visual SLAM-integrated planners, including A\\ and Dijkstra, frequently perform poorly in uncertain situations due to a lack of flexibility and collaborative intelligence. In order to improve navigation, this study presents MIRL-ACO-SLAM, a hybrid framework that combines Ant Colony Optimization (ACO) and Multi-Intelligence Reinforcement Learning (MIRL). Real-time spatial maps are created by the network using Visual SLAM (ORB-SLAM3), which allows agents to make decisions locally through reinforcement learning. Pheromone-based optimization guarantees global convergence to the best solutions. Pheromone-guided pruning and selective agent activation improve scalability on bigger maps while lowering computing costs. In contrast with traditional SLAM-based planners, MIRL-ACO-SLAM delivers 18.6% shorter route length, 24.3% quicker scheduling speed, with a 94% route completion rate in dynamic situations, according to empirical assessments conducted utilizing the Zurich MAV dataset. The suggested system opens the door for implementation in mission-critical applications like transportation and search-and-rescue by offering a dependable, scalable, and adaptable answer for real-time robotic navigation.<\/jats:p>","DOI":"10.31449\/inf.v50i11.9866","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T19:36:29Z","timestamp":1776972989000},"source":"Crossref","is-referenced-by-count":0,"title":["Hybrid MIRL and ACO-based Approach for Real-Time Path Planning in Visual SLAM"],"prefix":"10.31449","volume":"50","author":[{"given":"Jin","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunyu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"16141","published-online":{"date-parts":[[2026,4,23]]},"container-title":["Informatica"],"original-title":[],"link":[{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/download\/9866\/6644","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/download\/9866\/6644","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T19:36:30Z","timestamp":1776972990000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/view\/9866"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,23]]},"references-count":0,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2026,4,23]]}},"URL":"https:\/\/doi.org\/10.31449\/inf.v50i11.9866","relation":{},"ISSN":["1854-3871","0350-5596"],"issn-type":[{"value":"1854-3871","type":"electronic"},{"value":"0350-5596","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4,23]]}}}