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 …
Hector open source modules for autonomous map** and navigation with rescue robots
Key abilities for robots deployed in urban search and rescue tasks include autonomous
exploration of disaster sites and recognition of victims and other objects of interest. In this …
exploration of disaster sites and recognition of victims and other objects of interest. In this …
Disaster robotics
Rescue robots have been used in at least 28 disasters in six countries since the first
deployment to the 9/11 World Trade Center collapse. All types of robots have been used …
deployment to the 9/11 World Trade Center collapse. All types of robots have been used …
Learned map prediction for enhanced mobile robot exploration
We demonstrate an autonomous ground robot capable of exploring unknown indoor
environments for reconstructing their 2D maps. This problem has been traditionally tackled …
environments for reconstructing their 2D maps. This problem has been traditionally tackled …
Exploration strategies based on multi-criteria decision making for searching environments in rescue operations
Some applications require autonomous robots to search an initially unknown environment
for static targets, without any a priori information about environment structure and target …
for static targets, without any a priori information about environment structure and target …
Explore-bench: Data sets, metrics and evaluations for frontier-based and deep-reinforcement-learning-based autonomous exploration
Autonomous exploration and map** 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 …
Uncertainty-aware occupancy map prediction using generative networks for robot navigation
Efficient exploration through unknown environments remains a challenging problem for
robotic systems. In these situations, the robot's ability to reason about its future motion is …
robotic systems. In these situations, the robot's ability to reason about its future motion is …
Autonomous exploration in a cluttered environment for a mobile robot with 2d-map segmentation and object detection
Frontier-based exploration is widely adopted for exploring an unknown region. The
conventional frontier-based exploration for a mobile robot may collide with three …
conventional frontier-based exploration for a mobile robot may collide with three …
Robocup rescue robot and simulation leagues
Abstract The RoboCup Rescue Robot and Simulation competitions have been held since
2000. The experience gained during these competitions has increased the maturity level of …
2000. The experience gained during these competitions has increased the maturity level of …
An autonomous exploration algorithm using environment-robot interacted traversability analysis
Y Tang, J Cai, M Chen, X Yan… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
Auto-exploration is a task for self-driving robots to explore unknown environments, which
becomes much complicated when they move on irregular outdoor terrains. To improve the …
becomes much complicated when they move on irregular outdoor terrains. To improve the …