Autonomous navigation of robots: optimization with DQN

J Escobar-Naranjo, G Caiza, P Ayala, E Jordan… - Applied Sciences, 2023 - mdpi.com
Featured Application The application of “Autonomous Navigation of Robots: Optimization
with DQN” involves using reinforcement learning techniques to optimize the navigation of …

NanoMap: a GPU-accelerated OpenVDB-based mapping and simulation package for robotic agents

V Walker, F Vanegas, F Gonzalez - Remote Sensing, 2022 - mdpi.com
Encoding sensor data into a map is a problem that must be undertaken by any robotic agent
operating in unknown or uncertain environments, and real-time updates are crucial to safe …

Autonomous mapping of desiccation cracks via a probabilistic-based motion planner onboard uavs

J Sandino, J Galvez–Serna, N Mandel… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Studies of past life forms on other planets are possible through the identification and
localisation of desiccation cracks in ancient water bodies such as lakes, rivers and seas …

UAV-based navigation and grid mapping using semantic observations

N Mandel - 2023 - eprints.qut.edu.au
This research was a step towards enabling Unmanned Aerial Vehicles to use semantic
information for navigation. A navigation framework was established, a method to address …

Autonomous decision-making for UAVs operating under environmental and object detection uncertainty

JD Sandino Mora - 2022 - eprints.qut.edu.au
This study established a framework that increases cognitive levels in small UAVs (or
drones), enabling autonomous navigation in partially observable environments. The UAV …