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A study of a communication robot that aims to ease stress and to heal is very important. This paper develops a dialogue robot with haptic interactions, and two experiments are carried out to estimate the effects of dialogue and haptic interactions. From experimental results, the haptic interactions have more effective than dialogue in the interest conversation and in the robustness.
We introduce a low-complexity error-resilient perceptual haptic data reduction scheme addressing network packet losses. As shown in previous works, haptic packet losses highly impair telemanipulation systems displaying haptic artifacts and causing instabilities. Inspired by a previous error-resilient haptic data reduction approach, we propose a decreased-complexity binary tree scheme that aims to...
For realtime teleoperation with haptic feedback, network-induced artifacts like delay, packet loss and lossy coding of haptic data deteriorate the operability of the system. We provide a systematic quantification of the limits within which, these network-induced degradations are tolerable for human task performance in executing a given haptic task. These limits are conservative in the sense that we...
The classic approach to teleoperation system design seeks to augment human capabilities and allow the execution fo tasks in a remote (possible hazardous) environment. Recent developments have provided robotic systems with additional autonomy, thus allowing the possibility of having collaboration between humans and robots in local scenarios. This paper presents preliminary ideas where the concept of...
This paper introduces a novel approach to the manipulation of body-parts ownership, using the tactile rubber hand illusion (RHI) paradigm. In the conventional studies on the RHI, participant's invisible hand and the visible rubber hand are manually tapped or stroked by an experimenter. Differently, in our approach, a bilateral master-slave system is applied to provide tactile stimulations in a novel...
In this paper, we investigate the maneuverability performance of human teleoperators on multi-robots. First, we propose that maneuverability performance can be assessed by a frequency response function that jointly considers the input force of the operator and the position errors of the multi-robot system that is being maneuvered. Doing so allows us to evaluate maneuverability performance in terms...
In this paper, we present a control theoretic formulation for composing human control inputs with an automatic controller for shared control of a quadruped rescue robot. The formulation utilizes a model predictive controller to guide human controlled leg positions to satisfy state constraints that correspond to static stability for the robot. A hybrid control architecture that incorporates the model...
In this paper, we propose a novel haptic device that gives weight and friction illusions. Sensing a slip condition at a fingertip plays an important role to estimate the weight and friction properties of an object. This fact suggests that controlling the contact condition could yield weight and friction illusions. Based on this idea, a prototype device was developed that controls the contact surface...
We present a decentralized system for the bilateral teleoperation of groups of UAVs which only relies on relative bearing measurements, i.e., without the need of distance information or global localization. The properties of a 3D bearing-formation are analyzed, and a minimal set of bearings needed for its definition is provided. We also design a novel decentralized formation control almost globally...
This paper presents the control concept of a semi-mobile haptic interface for extended range telepresence that enables the user to explore spatially unrestricted target environments even from a small user environment. The semi-mobile haptic interface consists of a haptic manipulator mounted on a large grounded Cartesian robot, the prepositioning unit. The prepositioning unit is controlled in such...
Given the ease that humans have with using a keyboard and mouse in typical, non-colocated computer interaction, many studies have investigated the value of co-locating the visual field and haptic workspaces using immersive virtual reality (VR) modalities. Significant understanding has been gained by previous work comparing physical tasks against VR tasks, visuo-haptic co-location versus non-colocation,...
This paper explores learning of interaction force skills by human demonstration in dynamic interaction tasks. Skillful force regulation is required in many cases to achieve the goal of a task and at the same time, not to cause undesired stress on the manipulator or the object under manipulation which could result in physical failure. For example, manipulation of compliant objects with varying physical...
Haptic rendering provides users with the senses of touch during their interacting with the simulated objects in virtual environment. The maximum achievable object stiffness is critical for realistic haptic rendering of rigid objects, and is constrained by several inevitable ”non-idealities” in the haptic system as well as the behavior of the human operator, i.e. the mechanical impedance of human arm...
Recently proposed haptic offline compression algorithms remove perceptually irrelevant haptic samples to achieve data reduction. At display-time, the irregularly subsampled haptic signal is resampled at a higher constant sampling rate using interpolation. Such algorithms, however, have an important drawback. Although they are well suited for large-amplitude quasi-static feedback forces, low-amplitude...
Physical cooperation with humans greatly enhances the capabilities of robotic systems when leaving standardized industrial settings. Our novel cognition-enabled control framework presented in this paper enables a robotic assistant to enrich its own experience by acquisition of human task knowledge during joint manipulation. Our robot incrementally learns semantic task structures during joint task...
This paper considers trajectory tracking control problem for internet-based teleoperation system under time varying communication delay. The design comprises delayed position signals with the local velocity and nonlinear adaptive control signals. Adaptive terms are used to learn and compensate uncertain parameters for the gravity loading vector of the master-slave device. Lyapunov-Krasovskii-like...
Human grasping and manipulation are facilitated by cutaneous mechanoreceptors that provide information about contact location, pressure, and events such as making and breaking contact. A challenge in designing haptic feedback devices for the wearer of a prosthetic hand is simultaneous display of multiple types of haptic information. We present the preliminary design and evaluation of an apparatus...
The effect of contact location information on the perception of virtual edges was investigated by comparing human edge sharpness discrimination under the force-alone and force-plus-contact-location conditions. The virtual object consisted of the 2D profile of an edge with two adjoining surfaces. Edge sharpness JNDs for both conditions increased from about 2 to 7 mm as the edge radii increased from...
High packet rates in telepresence and teleaction systems pose grave challenges to teleoperation over existing communication infrastructure like the Internet. To counter these issues, efficient perceptually motivated packet-rate reduction schemes have been developed. These schemes are conventionally evaluated for perceived quality via subjective user tests. Such tests are time-consuming, expensive...
In this paper, we present the performance evaluation of haptic compression methods for networked teleoperation systems or haptic interfaces in virtual environments. Haptic data, which include position, velocity, and force data exchanged through the communication channel, are considered by various compression methods based on down-sampling. We introduce the operational rate-distortion performance measure...
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