KANTRA-human-machine interaction for intelligent robots using natural language

Lueth, Tim C.; Laengle, Thomas; Herzog, Gerd; Stopp, Eva; Rembold, Ulrich

doi:10.1109/roman.1994.365947

Cited by 30 publications

(11 citation statements)

References 13 publications

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“…Concerns for research are: (i) distribution of decisions, (ii) timing/scheduling of reasoning processes, (iii) artificial immune systems in industrial applications, and (iv) interaction and communication via brain-computer interfaces with intelligent systems (Nijholt and Tan, 2008). Personalization and social intelligence is a hot issue in multi-robot and human-robot systems (Lueth et al, 1994). Networking of intelligent robots, development of proactive service robotics systems, and application specific cyber-physical systems are all studied intensively (Luo et al, 2003).…”

Section: Intelligence Of Systemsmentioning

confidence: 99%

An initial categorization of foundational research in complex technical systems

Horváth

2015

J. Zhejiang Univ. Sci. A

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There has been intense foundational research in complex technical systems (CTSs) over the last half century. These systems are exemplified by advanced mechatronics systems, embedded control systems, real-time systems, agent-based smart systems, distributed software systems, internet of things systems, and cyber-physical systems. The objective of this paper is to offer an initial cataloguing of the various research domains and to identify the major research issues. The paper has an ontological flavour, because it concentrates on what research has been and is being done, rather than on why and how research is done. The underpinning study has been done in three stages: (i) intuition-driven exploration of a reference set of related academic publications, (ii) evidence-based specification of a categorization of the domains and subdomains of research, and (iii) refinement and validation of the proposed classification based on a control set of related academic publications. The proposed reasoning model identifies three categories of research domains. The 'intellectualizations' category includes research domains such as: (i) philosophy, (ii) ontology, and (iii) epistemology of CTSs. The research domains included in the 'realizations' category are: (iv) methodology, and (v) creation of CTSs. The domains considered in the 'influences' category are: (vi) manifestations, and (vii) axiology of CTSs. Based on the proposed reasoning model a landscape of foundational research in CTSs is proposed for public debate. Our follow-up study focuses on the extension of the proposed classification to other families of complex engineered systems such as sociotechnical systems and social ecosystems.

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Section: Intelligence Of Systemsmentioning

confidence: 99%

An initial categorization of foundational research in complex technical systems

Horváth

2015

J. Zhejiang Univ. Sci. A

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“…In contrast, our approach is to use a simple grammar that mimics natural language and at the same time facilitates planning and programming of actual robot motions. Work in this direction has been presented (Lueth et al 1994).…”

Section: The Human Interfacementioning

confidence: 99%

Human Interface, Automatic Planning, and Control of a Humanoid Robot

Hwang

seungsik

Lee

et al. 1998

The International Journal of Robotics Research

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This paper presents an integrated robotic system consisting of human interfaces, motion-and grasp-planning algorithms, a controller, a graphical simulator, and a humanoid robot with over 60 joints. All of these subsystems are integrated in a coordinated fashion to enable the robot to perform a commanded task with as much autonomy as possible. The highest level of our system is the human interfaces, which enable a user to specify tasks conveniently and efficiently. At the mid-level, several planning algorithms generate motions of the robot body, arms, and hands automatically. At the lowest level, the motor controllers are equipped with both a position controller and a compliant motion controller to execute gross motions and contact motions, respectively. The main contributions of our work are the large-scale integration and the development of the motion planners for a humanoid robot. A hierarchical integration scheme that preserves the modularities of the human interfaces, the motion planners, and the controller has been the key for the successful integration. The set of motion planners is developed systematically so as to coordinate the motions of the body, arms, and hands to perform a large variety of tasks.

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“…Various schemes for achieving extensive humanrobot interactions have been developed. Many natural-language-based interaction schemes have been proposed (e.g., [22], [23], [24]). Although natural language is clearly a desirable medium for human communications, it presents several major problems when used for human-robot communications.…”

Section: Introductionmentioning

confidence: 99%

Generalizing Precisiated Natural Language: A Formal Logic as a Precisiation Language

Nakama¹,

Muñoz²,

Ruspini³

2013

Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology

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We generalize precisiated natrual language by establishing a formal logic as a generalized precisiation language. In this formal logic, each proposition has a form that reflects a syntactic structure observed in natural language. Various syntactic structures are incorporated in the formal logic so that it precisiates not only perceptual propositions but also action-related propositions. The syntax of the formal logic allows us to create infinitely many precisiated propositions while ensuring that every proposition in it is precisiated. We discuss how our formal logic can effectively mediate human-robot interaction.

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KANTRA-human-machine interaction for intelligent robots using natural language

Cited by 30 publications

References 13 publications

An initial categorization of foundational research in complex technical systems

An initial categorization of foundational research in complex technical systems

Human Interface, Automatic Planning, and Control of a Humanoid Robot

Generalizing Precisiated Natural Language: A Formal Logic as a Precisiation Language

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