Editing Autonomous robot (section)

=== Open problems in autonomous robotics ===
{{Expand section|date=July 2008}}
Several open problems in autonomous robotics are special to the field rather than being a part of the general pursuit of AI. According to George A. Bekey's ''Autonomous Robots: From Biological Inspiration to Implementation and Control'', problems include things such as making sure the robot is able to function correctly and not run into obstacles autonomously. Reinforcement learning has been used to control and plan the navigation of autonomous robots, specifically when a group of them operates in collaboration with each other.<ref name="MBK">{{Cite journal | title=Detection of Static and Mobile Targets by an Autonomous Agent with Deep Q-Learning Abilities | journal=Entropy | year=2022 | volume=24 | issue=8 | page=1168 | doi=10.3390/e24081168 | pmid=36010832 | pmc=9407070 | doi-access=free | last1=Matzliach | first1=Barouch | last2=Ben-Gal | first2=Irad | last3=Kagan | first3=Evgeny | bibcode=2022Entrp..24.1168M }}</ref>

;Energy autonomy and foraging
Researchers concerned with creating true [[artificial life]] are concerned not only with intelligent control, but further with the capacity of the robot to find its own resources through [[foraging]] (looking for food, which includes both energy and spare parts).

This is related to '''autonomous foraging''', a concern within the sciences of [[behavioral ecology]], [[social anthropology]], and [[human behavioral ecology]]; as well as [[robot]]ics, [[artificial intelligence]], and [[artificial life]].<ref>{{cite book|author = Kagan E., Ben-Gal, I., (2015)|format = PDF|title = Search and Foraging: Individual Motion and Swarm Dynamics (268 Pages) | date=23 June 2015 |url =  https://www.amazon.com/Search-Foraging-Individual-Motion-Dynamics-ebook/dp/B010ACWAXC?ie=UTF8&*Version*=1&*entries*=0|publisher = CRC Press, Taylor and Francis }}</ref>