This paper presents the implementation and evaluation results of German research project SERROGA (2012 till mid 2015), which aimed at developing a robot companion for domestic health assistance older people that helps keeping them physically mentally fit to remain living independently in their own homes as long possible. The gives an overview developed robot, its system architecture, essential skills, behaviors, services required robotic assistant. Moreover, it new approach allowing...

This paper presents the results of German research project SYMPARTNER (4/2015 - 6/2018), which aimed at developing a functional-emotional, mobile domestic robot companion for elderly people. The gives an overview developed robot, its system architecture, and essential skills behaviors required being friendly home companion. Based on this, in long-term field study running from January to June 2018 both technical aspects regarding practical suitability robustness under operating conditions...

As report on work in progress, this paper describes the objectives and current state of implementation ongoing research project ROREAS (Robotic Rehabilitation Assistant for Stroke Patients), which aims at developing a robotic rehabilitation assistant walking orientation exercising self-training during clinical stroke follow-up care. This requires strongly user-centered, polite attentive social navigation interaction behaviors that can motivate patients to start, continue, regularly repeat...

This paper introduces a novel robot-based approach to the stroke rehabilitation scenario, in which mobile robot companion accompanies patients during their walking self-training. assistance enables them move freely clinic practicing both mobility and spatial orientation skills. Based on set of questions for systematic evaluating autonomy practicability assistive robots three-stage conducting function user tests clinical setting, we present results trials performed with N=30 center between...

A successful rehabilitation after surgery in hip endoprosthetics comprises self-training of the lessons taught by physiotherapists. While doing this, immediate feedback to patient about deviations from physiological gait patterns during training is important. Such also concerns correct usage forearm crutches three-point gait. In project ROGER, a mobile Socially Assistive Robot (SAR) support patients going be developed. The current implementation status robotic application developed for use...

We present an important aspect of our human-robot communication interface which is being developed in the context long-term research framework PERSES dealing with highly interactive mobile companion robots. Based on a multi-modal people detection and tracking system, we hierarchical neural architecture that estimates target point at floor indicated by pointing pose, thus enabling user to navigate robot specific position his local surroundings means pointing. In this context, were especially...

There are multiple attempts to decrease costs in the healthcare system while maintaining a high treatment quality. Digital therapies receive increasing attention clinical practice, mainly relating home-based exercises supported by mobile devices, eventually combination with wearable sensors. The aim of this study was determine if patients following total hip arthroplasty (THA) could benefit from gait training on crutches conducted robot setting. Method: This trial 30 arthroplasty. Fifteen...

Speech has become an important part in human robot interaction (HRI), e.g. for person detection systems by using localized sound sources or applications automatic speech recognition (ASR) systems. By HRI real world environments, we have to deal with mostly high and varying background noise, reverberation also different superimposing other noises. Therefore, scenarios a suitable signal preprocessing is essential. In this paper, present of the artificial auditory system implemented on mobile...

Most humans expect robots to function autonomously and properly. Yet, even reliable need human help every now then must “ask” for assistance. This paper presents the development of an interaction framework designing requesting from time performing their original task. Based on a broad literature review, basic principles requests in human-human (HHI) human-robot (HRI) are used design checklist. Starting this checklist, examples two (service vs. industrial) demonstrate principles. At last we...

For socially interactive robots it is essential to be able estimate the interest of people interact with them. Based on this estimation robot can adapt its dialog strategy different people's behaviors. Consequently, efficient and robust techniques for detection tracking are basic prerequisites when dealing human-robot interaction (HRI) in real-world scenarios. In paper, we introduce an imposed approach integration several sensor modalities present a multimodal, probability-based system...

Older people tend to have difficulties using unknown technical devices and are less willing accept shortcomings. Therefore, a robot that is supposed support older in managing daily life has adapt the users' needs capabilities very heterogeneous within target group. The aim of presented case study was provide in-depth insights on individual usage patterns acceptance mobile service real live environments (i.e. homes). Results from three cases (users aged 67, 78 85 living their own apartments)...

As a part of feasibility analysis, this paper reports that gait analysis orthopedic-surgically treated patients is possible by using Kinect v2 sensor as low cost depth camera instead applying conventional marker-based multi-camera system in laboratory. Being aware the strengths and weaknesses approach, our concept expands potential from diagnostic use only toward for documented actively corrective self-training patients. The analyzes which parameters are needed synthetic, but effective...

Successful rehabilitation after surgery in hip endoprosthetics comprises self-training of the lessons taught by physiotherapists. While doing so, immediate feedback to patient about deviations from physiological gait patterns during training is very beneficial. In research project ROGER, a mobile socially assistive robot (SAR), which supports patients their self-training, was developed. The employs task-specific, user-centered navigation and autonomous, real-time feature classification...

Correctly identifying people who are interested in an interaction with a mobile robot is essential task for smart Human-Robot Interaction. In this paper approach presented selecting suitable trajectory features specific manner from huge amount of different forms possible representations. Different sub-sampling techniques proposed to generate sequences which extracted. The data was generated real world experiments that include extensive user interviews acquire information about behaviors and...

In this paper, we present a neural architecture that is capable of estimating target point from pointing gesture, thus enabling user to command mobile robot specific position in his local surroundings by means pointing. context, were especially interested determine whether it possible implement estimator using only monocular images low-cost Webcams. The feature extraction also quite straightforward: We use gabor jet extract the vector normalized camera images; and cascade multi layer...

In this paper, we present two important aspects of our human-robot communication interface which is being developed in the context long-term research framework PERSES dealing with development highly interactive mobile robotic assistants. First, introduce a multi-modal people detection and tracking system, fundamental prerequisite for observation human interaction partner his nonverbal instructions given by pointing poses, gestures, head pose eye gaze. Based on hierarchical neural...