Critical design and control issues of indoor autonomous mobile robots: A review
Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …
environments and surrounding objects are known as autonomous mobile robots. Such …
Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning
Navigating a large swarm of micro-/nanorobots is critical for potential targeted
delivery/therapy applications owing to the limited volume/function of a single microrobot, and …
delivery/therapy applications owing to the limited volume/function of a single microrobot, and …
IoT-based humanoid software for identification and diagnosis of COVID-19 suspects
S Karmore, R Bodhe, F Al-Turjman… - IEEE sensors …, 2020 - ieeexplore.ieee.org
COVID-19 pandemic has a catastrophic consequence globally since its first case was
detected in December 2019, with an aggressive spread. Currently an exponential growth is …
detected in December 2019, with an aggressive spread. Currently an exponential growth is …
Collision-free path planning for welding manipulator via hybrid algorithm of deep reinforcement learning and inverse kinematics
J Zhong, T Wang, L Cheng - Complex & Intelligent Systems, 2021 - Springer
In actual welding scenarios, an effective path planner is needed to find a collision-free path
in the configuration space for the welding manipulator with obstacles around. However, as a …
in the configuration space for the welding manipulator with obstacles around. However, as a …
Optimal frontier-based autonomous exploration in unconstructed environment using RGB-D sensor
Aerial robots are widely used in search and rescue applications because of their small size
and high maneuvering. However, designing an autonomous exploration algorithm is still a …
and high maneuvering. However, designing an autonomous exploration algorithm is still a …
Recent advances in Rapidly-exploring Random Tree: A Review
T Xu - Heliyon, 2024 - cell.com
Path planning is an crucial research area in robotics. Compared to other path planning
algorithms, the Rapidly-exploring Random Tree (RRT) algorithm possesses both search and …
algorithms, the Rapidly-exploring Random Tree (RRT) algorithm possesses both search and …
Reactive navigation on natural environments by continuous classification of ground traversability
Reactivity is a key component for autonomous vehicles navigating on natural terrains in
order to safely avoid unknown obstacles. To this end, it is necessary to continuously assess …
order to safely avoid unknown obstacles. To this end, it is necessary to continuously assess …
Multi-robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
A map is necessary for tasks such as path planning or localization, which are common to
mobile robot navigation. However, a map may be unavailable if the environment in which a …
mobile robot navigation. However, a map may be unavailable if the environment in which a …
Onboard dynamic RGB‐D simultaneous localization and mapping for mobile robot navigation
B Canovas, A Nègre, M Rombaut - ETRI Journal, 2021 - Wiley Online Library
Although the actual visual simultaneous localization and mapping (SLAM) algorithms
provide highly accurate tracking and mapping, most algorithms are too heavy to run live on …
provide highly accurate tracking and mapping, most algorithms are too heavy to run live on …
An autonomous navigation approach for unmanned vehicle in outdoor unstructured terrain with dynamic and negative obstacles
B Zhou, J Yi, X Zhang, L Chen, D Yang, F Han… - Robotica, 2022 - cambridge.org
At present, the study on autonomous unmanned ground vehicle navigation in an
unstructured environment is still facing great challenges and is of great significance in …
unstructured environment is still facing great challenges and is of great significance in …