History-aware autonomous exploration in confined environments using mavs
C Witting, M Fehr, R Bähnemann… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
Many scenarios require a robot to be able to explore its 3D environment online without
human supervision. This is especially relevant for inspection tasks and search and rescue …
human supervision. This is especially relevant for inspection tasks and search and rescue …
Fig-op: Exploring large-scale unknown environments on a fixed time budget
O Peltzer, A Bouman, SK Kim… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
We present a method for autonomous exploration of large-scale unknown environments
under mission time con-straints. We start by proposing the Frontloaded Information Gain …
under mission time con-straints. We start by proposing the Frontloaded Information Gain …
Embedded system for motion control of an omnidirectional mobile robot
In this paper, an embedded system for motion control of omnidirectional mobile robots is
presented. An omnidirectional mobile robot is a type of holonomic robots. It can move …
presented. An omnidirectional mobile robot is a type of holonomic robots. It can move …
Autonomous exploration and map construction of a mobile robot based on the TGHM algorithm
An a priori map is often unavailable for a mobile robot in a new environment. In a large-scale
environment, relying on manual guidance to construct an environment map will result in a …
environment, relying on manual guidance to construct an environment map will result in a …
Including communication success in the estimation of information gain for multi-robot exploration
A Visser, BA Slamet - … on modeling and optimization in mobile …, 2008 - ieeexplore.ieee.org
This article investigates the effect of incorporating knowledge about the communication
possibilities in an exploration algorithm used to map an unknown environment. The mission …
possibilities in an exploration algorithm used to map an unknown environment. The mission …
Efficient frontier detection and management for robot exploration
P Senarathne, D Wang, Z Wang… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
The most common way to select target points for sensing during autonomous robot
exploration is to employ the concept of frontiers. Frontiers in an occupancy grid map are …
exploration is to employ the concept of frontiers. Frontiers in an occupancy grid map are …
Incremental algorithms for Safe and Reachable Frontier Detection for robot exploration
P Senarathne, D Wang - Robotics and Autonomous Systems, 2015 - Elsevier
Majority of the autonomous robot exploration strategies operate by iteratively extracting the
boundary between the mapped open space and unexplored space, frontiers, and sending …
boundary between the mapped open space and unexplored space, frontiers, and sending …
Time preference for information in multi-agent exploration with limited communication
V Spirin, S Cameron, J De Hoog - … , TAROS 2013, Oxford, UK, August 28 …, 2014 - Springer
Multi-agent exploration of unknown environments with limited communication is a rapidly
emerging area of research with applications including surveying and robotic rescue …
emerging area of research with applications including surveying and robotic rescue …
GVD-Exploration: An Efficient Autonomous Robot Exploration Framework Based on Fast Generalized Voronoi Diagram Extraction
Rapidly-exploring Random Trees (RRTs) are a popular technique for autonomous
exploration of mobile robots. However, the random sampling used by RRTs can result in …
exploration of mobile robots. However, the random sampling used by RRTs can result in …
Improving autonomous exploration using reduced approximated generalized voronoi graphs
L Li, X Zuo, H Peng, F Yang, H Zhu, D Li, J Liu… - Journal of Intelligent & …, 2020 - Springer
Autonomous robotic exploration has been extensively applied in many tasks, such as mobile
mapping and indoor searching. One of the most challenging issues is to locate the Next-Best …
mapping and indoor searching. One of the most challenging issues is to locate the Next-Best …