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Voyles, R., and Khosla, P. 1995. Tactile gestures for human /robot interaction. In Proc. of IEEE/RSJ Conf. on Intelligent Robots and Systems, volume 3, 7--13.

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Experiments in Adjustable Autonomy - Goodrich, Jr., Crandall, Palmer (2001)   (8 citations)  (Correct)

....For many of the applications for which adjustable autonomy and mixed initiatives are appropriate, it is desirable to allow the human to interact with the robot as naturally as possible. This leads to research in advanced interfaces, such as gesture recognition (Kortenkamp, Huber, Bonasso 1996; Voyles Khosla 1995), emotive computing (Breazeal 1998) natural language based interfaces, virtual reality based displays (Steele, Thomas, Blackmon 1998) and so on. Additionally, this also leads to research in robots learning from human operators (Boyles Khosla 2001) and research in designing intelligent ....

Voyles, R., and Khosla, P. 1995. Tactile gestures for human /robot interaction. In Proc. of IEEE/RSJ Conf. on Intelligent Robots and Systems, volume 3, 7--13.


Online, Interactive Learning of Gestures for Human/Robot.. - Christopher Lee (1996)   (5 citations)  (Correct)

....is being directed toward the research of systems for gesture observation based programming of robot systems. Tung and Kak [1] demonstrate automatic learning of robot tasks through a DataGlove interface. Kang and Ikeuchi [2] developed a system for simple task learning by human demonstration. Voyles [3] developed a system for gesturebased programming via a multi agent model. One capability which is currently lacking in systems such as these is a mechanism for online teaching of gestures with symbolic meanings. Most gesture recognition systems either require some explicit programming, or in the ....

R. Voyles, "Tactile gestures for human/robot interaction," in Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, 1995.


Tropism-Based Cognition for the Interpretation of.. - Agah, Khosla, Bekey (1997)   (2 citations)  Self-citation (Voyles Khosla)   (Correct)

....of these gestures in the context of the state of the system. 2 Gesture Interpretation 2. 1 The manipulator task The subject of this paper is the re implementation of a gesture based user interface for a robot manipulator that provides an intuitive mechanism for modifying its periodic trajectory [8]. The trajectory shape is not free form, but one of a small number of polygonal trajectory families. For this implementation, each family of trajectories is constrained to the same vertical plane and the set of trajectory shapes consists of: a cross, a rectangle, a right triangle, and a pickand ....

....agents should possess some non trivial behavior, but it is difficult to quantify or define non trivial. 5. 2 Agent topology The agent network for interpreting tactile gestures is illustrated graphically in Figure 4 (additional controller and utility agents are not shown but are described in [8]) The gray boxes represent gesture recognition agents and the open boxes represent gesture interpretation agents. Confusion is a virtual sensor agent, like the recognition agents, but it provides proprioceptive sense of the network s inability to reach consensus rather than sensing gestures from ....

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Voyles, R.M. and P.K. Khosla. "Tactile Gestures for Human/ Robot Interaction," Proc. of IEEE/RSJ Conf. on Intelligent Robots and Systems, Pittsburgh, PA, v. 3, pp. 7-13.


Multi-Agent Gesture Interpretation for Robotic Cable Harnessing - Richard Voyles   (1 citation)  Self-citation (Voyles Khosla)   (Correct)

....are simply pinching actions of the demonstrator s fingers and are sensed by an instrumented glove. End of arm tactile gestures are used to select and fine tune the robot s polygonal trajectories. Much of the work on end of arm tactile gestures that is used for this research has been reported in [15]. To summarize, end ofarm tactile gestures are force impulses that have associated with them state information that includes: average force components . force magnitude . parallelism between force and the X axis . parallelism between force and robot velocity . parallelism between force and ....

....or right, respectively (assuming a counter clockwise motion) Practice The practice session is when the robot moves through the various trajectories and the trainer observes the motions to see if they are as desired. End of arm tactile gestures similar to those we reported in our previous work [15], are used to fine tune the trajectory while symbolic hand gestures coupled with hand motion gestures are used to switch between trajectories. These are illustrated in Figure 4. Polhemus FSR Straight Rotate svar Inputs Figure 4: The training network. Pinch Segment Recognition Agents ....

[Article contains additional citation context not shown here]

Voyles, R.M. and P.K. Khosla, "Tactile Gestures for Human/ Robot Interaction," to appear in Proceedings of the IEEE Intelligent Robots and Systems Conf., Aug. 5-9, 1995, Pittsburgh, PA.


Gesture-Based Programming, Part 1: A Multi-Agent Approach - Richard Voyles   Self-citation (Voyles Khosla)   (Correct)

No context found.

Voyles, R.M. and P.K. Khosla, (1995a). "Tactile Gestures for Human/Robot Interaction," Proc. of IEEE/RSJ Conf. on Intelligent Robots and Systems, Pittsburgh, PA, v. 3, pp. 7-13.


Toward Gesture-Based Programming: Agent-Based Haptic Skill.. - Voyles (1997)   (1 citation)  Self-citation (Voyles)   (Correct)

No context found.

Voyles, R.M. and P.K. Khosla. 1995a, "Tactile Gestures for Human/Robot Interaction, " Proc. of IEEE/RSJ Conf. on Intelligent Robots and Systems, Pittsburgh, PA, v. 3, pp. 7-13.

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