[HTML][HTML] Service robots in the healthcare sector
Traditionally, advances in robotic technology have been in the manufacturing industry due to
the need for collaborative robots. However, this is not the case in the service sectors …
the need for collaborative robots. However, this is not the case in the service sectors …
Applications of convolutional neural networks for intelligent waste identification and recycling: A review
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …
applications of artificial intelligence in waste management have generated a large amount of …
[HTML][HTML] A review on the use of mobile service robots in elderly care
Global demographics trend toward an aging population. Hence, there will be an increased
social demand for elderly care. Recently, assistive technologies such as service robots have …
social demand for elderly care. Recently, assistive technologies such as service robots have …
[HTML][HTML] YOLO-GD: a deep learning-based object detection algorithm for empty-dish recycling robots
Due to the workforce shortage caused by the declining birth rate and aging population,
robotics is one of the solutions to replace humans and overcome this urgent problem. This …
robotics is one of the solutions to replace humans and overcome this urgent problem. This …
[HTML][HTML] Remote insects trap monitoring system using deep learning framework and IoT
Insect detection and control at an early stage are essential to the built environment (human-
made physical spaces such as homes, hotels, camps, hospitals, parks, pavement, food …
made physical spaces such as homes, hotels, camps, hospitals, parks, pavement, food …
Coverage path planning for decomposition reconfigurable grid-maps using deep reinforcement learning based travelling salesman problem
Optimizing the coverage path planning (CPP) in robotics has become essential to
accomplish efficient coverage applications. This work presents a novel approach to solve …
accomplish efficient coverage applications. This work presents a novel approach to solve …
[HTML][HTML] Weight-quantized squeezenet for resource-constrained robot vacuums for indoor obstacle classification
Q Huang - AI, 2022 - mdpi.com
With the rapid development of artificial intelligence (AI) theory, particularly deep learning
neural networks, robot vacuums equipped with AI power can automatically clean indoor …
neural networks, robot vacuums equipped with AI power can automatically clean indoor …
[HTML][HTML] A human support robot for the cleaning and maintenance of door handles using a deep-learning framework
The role of mobile robots for cleaning and sanitation purposes is increasing worldwide.
Disinfection and hygiene are two integral parts of any safe indoor environment, and these …
Disinfection and hygiene are two integral parts of any safe indoor environment, and these …
[HTML][HTML] A multi-level approach to waste object segmentation
We address the problem of localizing waste objects from a color image and an optional
depth image, which is a key perception component for robotic interaction with such objects …
depth image, which is a key perception component for robotic interaction with such objects …
[HTML][HTML] Reinforcement learning-based complete area coverage path planning for a modified hTrihex robot
One of the essential attributes of a cleaning robot is to achieve complete area coverage.
Current commercial indoor cleaning robots have fixed morphology and are restricted to …
Current commercial indoor cleaning robots have fixed morphology and are restricted to …