Deep reinforcement learning robot for search and rescue applications: Exploration in unknown cluttered environments
Rescue robots can be used in urban search and rescue (USAR) applications to perform the
important task of exploring unknown cluttered environments. Due to the unpredictable …
important task of exploring unknown cluttered environments. Due to the unpredictable …
Receding horizon path planning for 3D exploration and surface inspection
Within this paper a new path planning algorithm for autonomous robotic exploration and
inspection is presented. The proposed method plans online in a receding horizon fashion by …
inspection is presented. The proposed method plans online in a receding horizon fashion by …
Speeding-up robot exploration by exploiting background information
The ability to autonomously learn a model of an environment is an important capability of a
mobile robot. In this paper, we investigate the problem of exploring a scene given …
mobile robot. In this paper, we investigate the problem of exploring a scene given …
Heterogeneous multi-robot system for exploration and strategic water sampling
Physical sampling of water for off-site analysis is necessary for many applications like
monitoring the quality of drinking water in reservoirs, understanding marine ecosystems, and …
monitoring the quality of drinking water in reservoirs, understanding marine ecosystems, and …
Strategies for coordinated multirobot exploration with recurrent connectivity constraints
During several applications, such as search and rescue, robots must discover new
information about the environment and, at the same time, share operational knowledge with …
information about the environment and, at the same time, share operational knowledge with …
Explore-bench: Data sets, metrics and evaluations for frontier-based and deep-reinforcement-learning-based autonomous exploration
Autonomous exploration and mapping of unknown terrains employing single or multiple
robots is an essential task in mobile robotics and has therefore been widely investigated …
robots is an essential task in mobile robotics and has therefore been widely investigated …
Target search control of AUV in underwater environment with deep reinforcement learning
X Cao, C Sun, M Yan - IEEE Access, 2019 - ieeexplore.ieee.org
The autonomous underwater vehicle (AUV) is widely used to search for unknown targets in
the complex underwater environment. Due to the unpredictability of the underwater …
the complex underwater environment. Due to the unpredictability of the underwater …
From monocular SLAM to autonomous drone exploration
Micro aerial vehicles (MAVs) are strongly limited in their payload and power capacity. In
order to implement autonomous navigation, algorithms are therefore desirable that use …
order to implement autonomous navigation, algorithms are therefore desirable that use …
Vision-based multi-MAV localization with anonymous relative measurements using coupled probabilistic data association filter
We address the localization of robots in a multi-MAV system where external infrastructure
like GPS or motion capture systems may not be available. Our approach lends itself to …
like GPS or motion capture systems may not be available. Our approach lends itself to …
Goal assignment using distance cost in multi-robot exploration
In this paper, we discuss the problem of goal assignment in the multi-robot exploration task.
The presented work is focused on the underlying optimal assignment problem of the multi …
The presented work is focused on the underlying optimal assignment problem of the multi …