We developed a security guard robot that is specifically designed to manage queues of people and conducted a field trial at an actual public event to assess its effectiveness. However, the acceptance of robot instructions or admonishments poses challenges ...

Resistive random access memory (RRAM) is a promising technology for energy-efficient in-memory computing. However, due to technology limits, RRAM device faces a series of reliability issues. Deep neural network (DNN) computing based on RRAM ...

We developed an autonomous hatshop robot for encouraging customers to try on hats by providing comments that appropriately fit their actions, and in such a way also indirectly exerting social pressure. To enable it to offer such a service smoothly in a ...

We studied how robots could stop people from repeatedly obstructing them by using reactions that people commonly use. From 35 hours of observation of people in a shopping mall, we identified one commonly used reaction, which we named suggestive ...

We developed a motion control algorithm for a social mobile robot to intuitively convey its intent via social cues to pass through aisles and avoid misunderstanding in passing interactions with people, which frequently occur when a robot navigates in ...

Service and social robot in public scenarios will face various tasks in future applications, such as guiding people or admonishing them to provide assistance or convey social norms. Robots in public spaces might also incorporate roles of authority figures ...

Learning-based visual localization has become prospective over the past decades. Since ground truth pose labels are difficult to obtain, recent methods try to learn pose estimation networks using pixel-perfect synthetic data. However, this also ...

Omni-directional robots have gradually been popular for social interactions with people in human environments. The characteristics of omni-directional bases allow the robots to change their body orientation freely while moving straight. However, human ...

Cyberbullying on social media platforms has been a severe problem with serious negative consequences. Therefore, a number of researches on automatic detection of cyberbullying using machine learning techniques have been conducted in recent years. ...

A perspective is provided to compare the reliability requirements of Resistive Random Access Memory (RRAM) for digital memory application and neuromorphic computing application. Retention and endurance are considered as the two key metrics to evaluate the ...

In this paper, we propose and experimentally verify a distributed formation control algorithm for a group of multirotor unmanned aerial vehicles (UAVs). The algorithm brings the whole group of UAVs simultaneously to a prescribed submanifold that ...

In this paper, we present an onboard robust nonlinear control approach for quadrotor Unmanned Aerial Vehicles (UAVs) in the environments with disturbances and obstacles. The complete framework consists of an attitude controller based on the solution of ...

TED Talks are short, powerful talks given by some of the world's brightest minds - scientists, philanthropists, businessmen, artists, and many others. Funded by members and advertising, these talks are free to access by the public on the TED website and ...

This paper presents a nonlinear control approach for quadrotor Micro Aerial Vehicles (MAVs), which combines a backstepping-like regulator based on the solution of a certain class of global output regulation problems for the rigid body equations on SO(3), ...