9th International Conference on ICT for Sustainable Development

Authors - Kartik Pathak, Sakshi Kaushal, Amita Chauhan
Abstract - The realm of autonomous navigation stands at the vanguard of technological progress, witnessing the integration of robotics, drones, and vehicles endowed with the capability to independently perceive, interact with, and traverse dynamic environments. Autonomous navigation systems have permeated various industries, ushering in transformative changes in logistics, manufacturing, healthcare, and agriculture. The comprehensive overview delves into recent research within autonomous navigation, illuminating the remarkable advancements and untapped potential in the swiftly evolving domain. The studies span an array of autonomous systems, spanning ground-based robots to aerial drones, and leverage cutting-edge technologies, including advanced sensor fusion, path planning algorithms, machine learning, and deep reinforcement learning. Significantly, research breakthroughs feature Lidar-based Rao-Blackwell Particle Filters, elevating localization and path planning proficiency in indoor environments, as well as online decision-making algorithms tailored for autonomous robot navigation. The vision-based navigation for UAVs and the infusion of deep learning techniques to augment navigation, object detection, and avoidance constitute pivotal areas of exploration. As the field continues its trajectory of evolution, the collective insights encapsulated in the overview emerge as a valuable resource for researchers and developers along with the challenges and opportunities.