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The NVIDIA Jetson Nano was equipped with a modified ResNet-18 model that allowed it to concurrently execute three tasks: object-handling zone recognition, obstacle detection, and path tracking. A lightweight rack-and-pinion mechanism enables payload lifting of up to 2 kg without external assistance. Experimental evaluation in semi-structured warehouse settings demonstrated a path tracking accuracy of 92%, obstacle avoidance success of 88%, and object handling success of 90%, with a maximum perception-to-action latency of 150 m. The system maintains stable operation for up to 3 hours on a single charge. Unlike other approaches that focus on single functions or require cloud support, our design integrates navigation, perception, and mechanical handling into a low-power, standalone solution. This highlights its potential as a practical and cost-effective automation platform for SMEs.<\/jats:p>","DOI":"10.3389\/frobt.2025.1680285","type":"journal-article","created":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T09:47:56Z","timestamp":1762249676000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["ResNet-18 based multi-task visual inference and adaptive control for an edge-deployed autonomous robot"],"prefix":"10.3389","volume":"12","author":[{"given":"Sufola Das Chagas","family":"Silva Araujo","sequence":"first","affiliation":[]},{"given":"Goh Kah","family":"Ong Michael","sequence":"additional","affiliation":[]},{"given":"Uttam U.","family":"Deshpande","sequence":"additional","affiliation":[]},{"given":"Sudhindra","family":"Deshpande","sequence":"additional","affiliation":[]},{"given":"Manjunath G.","family":"Avalappa","sequence":"additional","affiliation":[]},{"given":"Yash","family":"Amasi","sequence":"additional","affiliation":[]},{"given":"Sumit","family":"Patil","sequence":"additional","affiliation":[]},{"given":"Swathi","family":"Bhat","sequence":"additional","affiliation":[]},{"given":"Sudarshan","family":"Karigoudar","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2025,11,4]]},"reference":[{"key":"B1","unstructured":"Lightweight ResNet variants for Mobile and edge computing\n          \n          \n          2025"},{"key":"B2","doi-asserted-by":"publisher","first-page":"39830","DOI":"10.1109\/access.2020.2975643","article-title":"A review on challenges of autonomous Mobile robot and sensor fusion methods","volume":"8","author":"Alatise","year":"2020","journal-title":"IEEE Access"},{"key":"B3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/ICEngTechnol.2017.8308186","article-title":"Understanding of a convolutional neural network","volume-title":"Proc. 2017 Int. 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