A survey on active simultaneous localization and mapping: State of the art and new frontiers
Active simultaneous localization and mapping (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …
controlling the motion of a robot to build the most accurate and complete model of the …
Enhancing robot task completion through environment and task inference: A survey from the mobile robot perspective
In real-world environments, ranging from urban disastrous scenes to underground mining
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …
Integrating deep reinforcement and supervised learning to expedite indoor mapping
E Zwecher, E Iceland, SR Levy… - … on Robotics and …, 2022 - ieeexplore.ieee.org
The challenge of mapping indoor environments is addressed. Typical heuristic algorithms
for solving the motion planning problem are frontier-based methods, that are especially …
for solving the motion planning problem are frontier-based methods, that are especially …
4CNet: A Confidence-Aware, Contrastive, Conditional, Consistency Model for Robot Map Prediction in Multi-Robot Environments
Mobile robots in unknown cluttered environments with irregularly shaped obstacles often
face sensing, energy, and communication challenges which directly affect their ability to …
face sensing, energy, and communication challenges which directly affect their ability to …
[PDF][PDF] Beyond the Frontiers of Active SLAM: New Methods for Fast and Optimal Decision-Making
JAP Perales - zaguan.unizar.es
Mobile robotics has undergone major advances in recent years, with the ultimate goal of
deploying fully autonomous robots in the real world capable of performing complex …
deploying fully autonomous robots in the real world capable of performing complex …
Beyond the Frontiers of Active SLAM: New Methods for Fast and Optimal Decision-Making
JA Placed Perales, JÁ Castellanos Gómez - zaguan.unizar.es
Mobile robotics has undergone major advances in recent years, with the ultimate goal of
deploying fully autonomous robots in the real world capable of performing complex …
deploying fully autonomous robots in the real world capable of performing complex …
Autonomous robot exploration using deep learning: an experimental analysis
M Premi - 2021 - politesi.polimi.it
Among the different research fields in robotics, autonomous mobile robotics has been
actively addressed in the last years. Autonomous exploration is one of the most important …
actively addressed in the last years. Autonomous exploration is one of the most important …
[PDF][PDF] WiFi Imaging: Generating Building Maps Using Passively Obtained WiFi Signal Strengths.
We present an algorithm for mapping a building using WiFi signal strength measurements.
Our approach simultaneously localises the positions of signal measurements and maps the …
Our approach simultaneously localises the positions of signal measurements and maps the …