Paper Contents
Abstract
Autonomous systems will be crucial for several applications in a variety of fields, such as field, road, marine, aviation, space, and service robotics. They will help us with our everyday activities and carry out tedious, hazardous, and filthy jobs.However, there are numerous obstacles in allowing robotic systems to operate independently for weeks, months, or years in challenging, real-world situations. Some of them, such as navigation and mapping, sensing, knowledge representation and reasoning, planning, interaction, and learning, have been studied by subdisciplines of artificial intelligence (AI). The many subfields have produced methods that, when reincorporated into an autonomous system, can help robots function well in challenging, extended situations. In this letter, we examine and talk about AI methods as "enablers" for long-term robot autonomy, present advancements.
Copyright
Copyright © 2024 RAGANATH B M, RANJANA PRASAD, RISHI V N, S M RACHANA, MS SUMA J. This is an open access article distributed under the Creative Commons Attribution License.
