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This article is aimed to describe the developments in algorithms devised for obstacle avoidance in robot navigation which can open a new horizon for advancement in businesses. For this purpose, our study is focused on gesture recognition to mean socio-technological implication. Literature review on this issue reveals that movement of robots can be made efficient by introducing gesture-based collision avoidance techniques. Experimental results illustrated a high level of robustness and usability of the Gesture recognition (GR) system. The overall error rate is almost 10%. In our subjective judgment, we assume that GR system is very well-suited to instruct a mobile service robot to change its path on the instruction of human.<\/jats:p>","DOI":"10.1017\/s0263574719000183","type":"journal-article","created":{"date-parts":[[2019,3,20]],"date-time":"2019-03-20T08:34:25Z","timestamp":1553070865000},"page":"1663-1676","source":"Crossref","is-referenced-by-count":12,"title":["Obstacle Avoidance through Gesture Recognition: Business Advancement Potential in Robot Navigation Socio-Technology"],"prefix":"10.1017","volume":"37","author":[{"given":"Xuan","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kashif Nazar","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qamar","family":"Farooq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunhong","family":"Hao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Shoaib","family":"Arshad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2019,3,20]]},"reference":[{"key":"S0263574719000183_ref8","unstructured":"8. 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