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In this study, we investigate and characterize haptic interaction in human-to-human handovers and identify key features that facilitate safe and efficient object transfer. Eighteen participants worked in pairs and transferred weighted objects to each other while we measured their grip forces and load forces. Our data show that during object transfer, both the giver and receiver employ a similar strategy...
To increase human trust in robots, we have developed a system that provides insight into robotic behaviors by enabling a robot to answer questions people pose about its actions (e.g., Q: “Why did you turn left there?” A: “I detected a person at the end of the hallway.”). Our focus is on generation of this explanation in human-understandable terms despite the mathematical, robot-specific representation...
Visual cues-based anticipation is a fundamental aspect of human-human interaction, and it plays an especially important role in the time demanding medium of group performance. In this work we explore the importance of visual gesture anticipation in music performance involving human and robot. We study the case in which a human percussionist is playing a four-piece percussion set, and a robot musician...
This paper presents a generalized method for the design of a gesture vocabulary (GV) for intuitive and natural two-way human-robot dialog. Two GV design methodologies are proposed; one for a robot GV (RGV) and a second for a human GV (HGV). The design is based on motion gestures exerted from a cohort of subjects in response to a set of tasks needed to execute several robot waiter (RW)-customer dialogs...
Collaboration between distributed human and robot partners during military operations is becoming more necessary. In order to enable efficient real-time communication, it is important to develop user interfaces that support robust spoken language understanding capabilities. As a step toward achieving this objective, this work examines the role of shared gaze between a human and robot during remote...
In this paper, we present our work designing a robot that explains an exhibit to multiple visitors in a museum setting, based on ethnographic analysis of interactions between expert human guides and visitors. During the ethnographic analysis, we discovered that expert human guides employ some identical strategies and practices in their explanations. In particular, one of these is to involve all visitors...
Networked robotic applications enable robots to operate in distant, hazardous, or otherwise inaccessible environments, such as search and rescue, surveillance, and exploration applications. The most difficult challenge which persists for such systems is that of supporting effective human-robot interaction, as this usually demands managing dynamic views, changeable interaction modalities, and adaptive...
We propose a computational model based on inverse-forward model pairs for the simulation and execution of actions. The models are implemented on a humanoid robot and are used to control reaching actions with the arms. In the experimental setup a tool has been attached to the left arm of the robot extending its covered action space. The preliminary investigations carried out aim at studying how the...
The video presents the first results of a Swiss-funded project focusing on symbiotic peer-to-peer interaction and cooperation between humans and robot swarms. As a first step, we considered human-swarm interaction, and selected the use of hand gestures to let a human communicate with a swarm of relatively simple mobile robots. In our scenario, a hand gesture encodes a command, that the swarm will...
The advantage of the proposed approach is that users can invent their own communication protocol (based on the knock patterns) to communicate with the creature. This approach is a novel concept to establish future human-robot communication protocols within many contexts or human centric applications. However, through symbolic communication (knock-based communication) a human is able to convey to the...
Social interaction involves a large number of patterned behaviors that people employ to achieve particular communicative goals. To achieve fluent and effective humanlike communication, robots must seamlessly integrate the necessary social behaviors for a given interaction context. However, very little is known about how robots might be equipped with a collection of such behaviors and how they might...
In the development of companion robots capable of any-depth, long-term interaction, social scenarios enable exploration of the robot's capacity to engage a human interactant. These scenarios are typically constrained to structured task-based interactions, to enable the quantification of results for the comparison of differing experimental conditions. This paper introduces a hardware setup to facilitate...
In this paper we describe our prototyping environment to study concepts for empowering a single user to control robotic multi-agent systems. We investigate and validate these concepts by experiments with a fleet of hovering robots. Specifically, we report on a first experiment in which one robot is equipped with an RGB-D sensor through which the user is enabled to directly interact with a multi-agent...
This paper presents a novel exploration on how to enable a robot to express its intention so that the humans and robot can form a synergic relationship. A systematic design approach is proposed to obtain a set of possible intentions for a given robot from three levels of intentions. A visual intention expression system approach is developed to visualize the intentions and implemented on a mobile robot...
This paper presents a computational model for side-by-side walking for human-robot interaction (HRI). In this work we address the importance of future motion utility (motion anticipation) of the two walking partners. Previous studies only considered a robot moving alongside a person without collisions with simple velocity-based predictions. In contrast, our proposed model includes two major considerations...
This study explores how human users respond to coordinated and uncoordinated gestures of a robot as an information deliverer. A between-subject experiment was conducted using the Wizard of Oz method, with 63 participants randomly assigned to one of four conditions (voice-only vs. no-gesture vs. coordinated gesture vs. uncoordinated gesture) taking an artwork class in a museum-like setting. The robot...
We present an actively altruistic mobile robot system that implements a neural network to perform head pose tracking to identify a person who looks lost. Our results show that a 3-level discretization of head pose performed better than 9 levels, but that 9 levels perform better at detecting head pose change. We also present results from analyzing a method that determines whether or not a person looks...
This paper addresses a learning system design for a robot based on an extended attention process. We consider that typical attention that consists of the position/area of a sight can be extended from the viewpoint of reinforcement learning (RL) systems. We propose an RL system that is based on extended attention. The proposed system learns to switch its attention depth according to the situations...
This work involves a development of a robotics simulation platform called SIGVerse. In order to address the motivation and novelty of the development, this paper aims to illustrate the features specially designed to address the needs in human-robot interaction (HRI) development. This paper has responded to five main factors that define a HRI problem to illustrate the SIGVerse capabilities in facilitating...
In this paper we show that we are in front of an evolution from traditional human-computer interactions to a kind of intense exchange between the human user and new generation of virtual or real systems — Embodied Conversational Agents (ECAs) or affective robots-bringing the interaction to another level, the “relation level”. We call these systems “companions” that is to say systems with which the...
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