At the core of every high-performing warehouse is an efficient order picking (OP) system. To
attain such a system, policy choices should be carefully aligned with subjects responsible for …

It has become accepted in the neuroscience community that perception and performance
are quintessentially multisensory by nature. Using the full palette of modern brain imaging …

This article proposes recurrent neural networks (RNNs) for the WiFi fingerprinting indoor
localization. Instead of locating a mobile user's position one at a time as in the cases of …

Self-selected walking speed is an important aspect of mobility. Exoskeletons can increase
walking speed, but the mechanisms behind these changes and the upper limits on …

Our aim is to maximize the interpretable information for gait analysis. To achieve this, it is
important to find the optimal sensor placement and the parameters that influence the …

The absence of effective access to opportunities and services is a key contributor to poor
socio-economic and health outcomes in underserved neighborhoods in many cities. The city …

This paper presents a system for online learning of human classifiers by mobile service
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …

This paper proposes a soft range limited K-nearest neighbors (SRL-KNNs) localization
fingerprinting algorithm. The conventional KNN determines the neighbors of a user by …

Human detection and tracking are essential aspects to be considered in service robotics, as
the robot often shares its workspace and interacts closely with humans. This paper presents …

Predicting the collective motion of a group of pedestrians (a crowd) under the vehicle
influence is essential for the development of autonomous vehicles to deal with mixed urban …