The paper focuses on the development of autonomous robot UltraBot to reduce COVID-19 transmission and other harmful bacteria viruses. motivation behind research is develop such a that capable performing disinfection tasks without use sprays chemicals can leave residues, require airing room afterward for long time, cause corrosion metal structures. technology has potential offer most optimal performance along with taking care people, keeping them from getting under UV-C radiation. highlights...

DeltaCharger is a novel charging robot with an Inverted Delta structure for 3D positioning of electrodes to achieve robust and safe transferring energy between two mobile robots. The embedded high-fidelity tactile sensors allow estimate the angular, vertical horizontal misalignments on charger mechanism target using pressure data contact surfaces. This crucial preventing short circuit. In this letter, developed prototype evaluation study different machine learning models misalignment...

MobileCharger is a novel mobile charging robot with an Inverted Delta actuator for safe and robust energy transfer between two robots. The RGB-D camera-based computer vision system allows to detect the electrodes on target using convolutional neural network (CNN). embedded high-fidelity tactile sensors are applied estimate misalignment charger mechanism main CNN based pressure data contact surfaces. Thus, developed vision-tactile perception precise positioning of end effector ensures...

Robot social navigation needs to adapt different human factors and environmental contexts. However, since these contexts are difficult predict cannot be exhaustively enumerated, traditional learning-based methods have difficulty in ensuring the attributes of robots long-term cross-environment deployments. This letter introduces an online context learning method that aims empower new environments online. The proposed adopts a two-layer structure. bottom layer is built using deep reinforcement...

Perception of human beings is one the basic capabilities service robots and prerequisite for interaction between humans. Although enabling hardware software technologies have made great strides, there are not many open-source solutions that organically integrate two. To address this shortfall, paper introduces an scheme integration robotic embodied perception. The entity includes a robot chassis, computing unit based on ARM architecture, 3D lidar, 2D lidar four RGB-D cameras exterior...

Social compatibility is one of the most important parameters for service robots. It characterizes quality interaction between a robot and human. In this paper, human-centered benchmarking framework proposed socially-compliant navigation. an end-to-end manner, four open-source navigation methods are benchmarked, two which socially-compliant. All aspects clarified to ensure reproducibility replicability experiments. The social with Robotic Attributes Scale (RoSAS) measured. After that,...

Social compatibility is one of the most important parameters for service robots. It characterizes quality interaction between a robot and human. In this paper, human-centered benchmarking framework proposed socially-compliant navigation. an end-to-end manner, four open-source navigation methods are benchmarked, two which socially-compliant. All aspects clarified to ensure reproducibility replicability experiments. The social with Robotic Attributes Scale (RoSAS) measured. After that,...

The paper focuses on the development of autonomous robot UltraBot to reduce COVID-19 transmission and other harmful bacteria viruses. motivation behind research is develop such a that capable performing disinfection tasks without use sprays chemicals can leave residues, require airing room afterward for long time, cause corrosion metal structures. technology has potential offer most optimal performance along with taking care people, keeping them from getting under UV-C radiation. highlights...

DeltaCharger is a novel charging robot with an Inverted Delta structure for 3D positioning of electrodes to achieve robust and safe transferring energy between two mobile robots. The embedded high-fidelity tactile sensors allow estimate the angular, vertical horizontal misalignments on charger mechanism target using pressure data contact surfaces. This crucial preventing short circuit. In this paper, developed prototype evaluation study different machine learning models misalignment...

MobileCharger is a novel mobile charging robot with an Inverted Delta actuator for safe and robust energy transfer between two robots. The RGB-D camera-based computer vision system allows to detect the electrodes on target using convolutional neural network (CNN). embedded high-fidelity tactile sensors are applied estimate misalignment charger mechanism main CNN based pressure data contact surfaces. Thus, developed vision-tactile perception precise positioning of end effector ensures...