Autonomous robot operation in unstructured and unknown environments requires efficient
techniques for mapping and exploration using streaming range and visual observations …

In this paper, we tackle the challenge of predicting the unseen walls of a partially observed
environment as a set of 2D line segments, conditioned on occupancy grids integrated along …

In this paper, we address the challenge of exploring unknown indoor environments using
autonomous aerial robots with Size Weight and Power (SWaP) constraints. The SWaP …

Adaptive informative path planning (AIPP) is important to many robotics applications,
enabling mobile robots to efficiently collect useful data about initially unknown …

Abstract adaptive informative path planning (AIPP) is important to many robotics
applications, enabling mobile robots to efficiently collect useful data about initially unknown …

Exploration is a critical challenge in robotics, centered on understanding unknown
environments. In this work, we focus on robots exploring structured indoor environments …

This research investigates the performance and efficiency of Unmanned Surface Vehicles
(USVs) in multi-target tracking scenarios using the Adaptive Particle Swarm Optimization …

Many real-world mobile robot applications, such as disaster response, military
reconnaissance, and environmental monitoring, require operating in unknown and …

This research investigates the performance and efficiency of Unmanned Surface Vehicles
(USVs) in multi-target tracking scenarios using the Adaptive Particle Swarm Optimization …

Mobile robotics has become increasingly popular in recent years as it provides an
automated and cost-efficient solution to a variety of tasks. Traditionally, human operators …