Autonomous navigation of robots: optimization with DQN
Featured Application The application of “Autonomous Navigation of Robots: Optimization
with DQN” involves using reinforcement learning techniques to optimize the navigation of …
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 …
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
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 …
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 …
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 …
drones), enabling autonomous navigation in partially observable environments. The UAV …