A state‐of‐the‐art review on mapping and localization of mobile robots using omnidirectional vision sensors
Nowadays, the field of mobile robotics is experiencing a quick evolution, and a variety of
autonomous vehicles is available to solve different tasks. The advances in computer vision …
autonomous vehicles is available to solve different tasks. The advances in computer vision …
A deep-network solution towards model-less obstacle avoidance
Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile
robots to explore an unknown environment without colliding into other objects. It is the basis …
robots to explore an unknown environment without colliding into other objects. It is the basis …
Vision-based topological mapping and localization methods: A survey
E Garcia-Fidalgo, A Ortiz - Robotics and Autonomous Systems, 2015 - Elsevier
Topological maps model the environment as a graph, where nodes are distinctive places of
the environment and edges indicate topological relationships between them. They represent …
the environment and edges indicate topological relationships between them. They represent …
A robot exploration strategy based on q-learning network
This paper introduces a reinforcement learning method for exploring a corridor environment
with the depth information from an RGB-D sensor only. The robot controller achieves …
with the depth information from an RGB-D sensor only. The robot controller achieves …
Mobile robots exploration through cnn-based reinforcement learning
Exploration in an unknown environment is an elemental application for mobile robots. In this
paper, we outlined a reinforcement learning method aiming for solving the exploration …
paper, we outlined a reinforcement learning method aiming for solving the exploration …
WiFi signal strength-based robot indoor localization
Due to the unavailable GPS signals in indoor environments, indoor localization has become
an increasingly heated research topic in recent years. Researchers in robotics community …
an increasingly heated research topic in recent years. Researchers in robotics community …
Object-to-scene: Learning to transfer object knowledge to indoor scene recognition
Accurate perception of the surrounding scene is helpful for robots to make reasonable
judgments and behaviours. Therefore, developing effective scene representation and …
judgments and behaviours. Therefore, developing effective scene representation and …
3-D-laser-based scene measurement and place recognition for mobile robots in dynamic indoor environments
Active environment perception and autonomous place recognition play a key role for mobile
robots to operate within a cluttered indoor environment with dynamic changes. This paper …
robots to operate within a cluttered indoor environment with dynamic changes. This paper …
Finding the adequate resolution for grid mapping-cell sizes locally adapting on-the-fly
For robot mapping occupancy grid maps are the most common representation of the
environment. However, most existing algorithms for creating such maps assume a fixed …
environment. However, most existing algorithms for creating such maps assume a fixed …
Topological mapping and scene recognition with lightweight color descriptors for an omnidirectional camera
M Liu, R Siegwart - IEEE Transactions on Robotics, 2013 - ieeexplore.ieee.org
Scene recognition problems for mobile robots have been extensively studied. This is
important for tasks such as visual topological mapping. Usually, sophisticated key-point …
important for tasks such as visual topological mapping. Usually, sophisticated key-point …