Human-Inspired Robots

Coradeschi, Silvia; Ishiguro, Hiroshi; Asada, Minoru; Shapiro, Steven; Thielscher, Michael; Breazeal, Cynthia; Matarić, Maja J.; Ishida, Hiroshi

doi:10.1109/mis.2006.72

Cited by 61 publications

(42 citation statements)

References 15 publications

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“…With recent advances in technology, lifelike humanoid robots are becoming commonplace and assistive technologies based on such agents are starting to change the face of education and healthcare (Coradeschi et al, 2006). However, there is little systematic research on human perception of such agents (Saygin, Chaminade, & Ishiguro, 2010).…”

Section: Introductionmentioning

confidence: 99%

The role of appearance and motion in action prediction

Saygın

Stadler

2012

Psychological Research

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We used a novel stimulus set of human and robot actions to explore the role of humanlike appearance and motion in action prediction. Participants viewed videos of familiar actions performed by three agents: human, android and robot, the former two sharing human appearance, the latter two nonhuman motion. In each trial, the video was occluded for 400 ms. Participants were asked to determine whether the action continued coherently (in-time) after occlusion. The timing at which the action continued was early, late, or in-time (100, 700 or 400 ms after the start of occlusion). Task performance interacted with the observed agent. For early continuations, accuracy was highest for human, lowest for robot actions. For late continuations, the pattern was reversed. Both android and human conditions differed significantly from the robot condition. Given the robot and android conditions had the same kinematics, the visual form of the actor appears to affect action prediction. We suggest that the selection of the internal sensorimotor model used for action prediction is influenced by the observed agent's appearance.

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Section: Introductionmentioning

confidence: 99%

The role of appearance and motion in action prediction

Saygın

Stadler

2012

Psychological Research

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“…Planning and reasoning that is based on abstract terms and concepts is often referred to as high-level planning and reasoning (Coradeschi et al, 2006). Such planning is not meant to replace existing motion or path planning methods, mentioned in the latter chapter, but to complement them for more general and complex planning of robot action.…”

Section: Safe High-level Reasoning and Planningmentioning

confidence: 99%

Safety of Autonomous Cognitive-oriented Robots

Ertle¹

2015

Künstl Intell

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Service robots shall very soon autonomously provide services in all spheres of life. They have to execute demanding and complex tasks in a dynamic environment, collaborate with human users in a natural and intuitive way and adapt themselves to varying conditions. It can be assumed that complex robots have to be able to learn, if they shall be able to provide complex tasks in unstructured environments in an autonomous fashion. The capability to 'act autonomously' is often mentioned in conjunction with robots, however, the perception and understanding of the term autonomy varies among the different research fields. Therefore, a closer look is taken at robot autonomy and intelligence, in particular, with regard to current and future robots. From this perspective, implications for safety are derived concerning safe autonomous behavior.In order to push forward the robot safety in the light of safe behavior in complex environments, a novel classification of robot hazards is provided. Based on this, the so-called object interaction hazards are derived which arise when objects that are, for instance, located in the near environment, interact with objects that are manipulated by a robot. Taking into account the current state-of-the-art, it can be stated that this denotes a novel problem area. This problem area is so far addressed neither in current research work, nor in the relevant standards.The new type of hazards can be assigned to a group of hazards that originate from the interaction with a complex and unstructured environment. In order to sufficiently consider the environment and operation context, the robot has to be aware of it. In the field of cognitive (technical and biological) systems, this key capability can be called 'situation awareness ' (cf. Söffker, 2008). Based on Endsley (1995)'s definition of situation awareness, Wardziński (2008) proposes the 'dynamic risk assessment' approach, which shall enable the robot perceive the risk of current and upcoming situations. In order to realize such a risk-aware planning system for the first time, dynamic risk assessment is integrated within a cognitive architecture in order to utilize cognitive functions, such as anticipation, planning and learning. Here, the so-called action spaces (sets of possible upcoming situations) are dynamically anticipated within the underlying cognitive architecture, and a risk assessment component assesses them with regard to comprised risks. Thus, the generated risk information can be utilized for a risk-aware action planning. The proper operation of this integrating concept is demonstrated via simulations and with a robot experiment.In order to consider (object interaction) hazards by means of dynamic risk assessment, (initial) knowledge about hazards is required. Thus, a novel procedural model is developed for systematically generating a safety knowledge base. In this connection, the concept is to formalize risk models (risk description rules) in a generalized manner so that they remain valid for future, and so far unknown si...

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“…Following the ideas of C.Breazhal [6], we think that a robot could become a social object if we add some specific capabilities. We can then apply this companions [17]:…”

Section: From Social Robotmentioning

confidence: 99%

Artificial companion and acceptability a problem of design?

Pesty

Duhaut

2012

2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom)

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To cite this version:Sylvie Pesty, Dominique Duhaut. Artificial companion and acceptability a problem of design?. Abstract-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 artificial systems. These systems can be virtual, Embodied Conversational Agents (ECAs), or real systems robots. We call these systems "artificial companions" that is to say systems with which the user wants to build a kind of life-long relationship.In previous work [16] we study long term interaction and shown that emotions and personality are important features to establish this long relation. In this paper we want to go farther and discuss the set of dimensions to take into account to build an acceptable artificial companion.

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Human-Inspired Robots

Cited by 61 publications

References 15 publications

The role of appearance and motion in action prediction

The role of appearance and motion in action prediction

Safety of Autonomous Cognitive-oriented Robots

Artificial companion and acceptability a problem of design?

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