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Biomechanical and neurophysiological mechanisms related to
Biomechanical and neurophysiological mechanisms related to

... the development of an internal representation of body posture that is continuously updated based on multisensory feedback and is used to forward commands to control body position in space (Massion, 1994; Mergner & Rosemeier, 1998). This provides a basis for all interactions involving perception and ...
Policy Communication for Coordination with Unknown Teammates
Policy Communication for Coordination with Unknown Teammates

... act, as shown in equation 1. The utility of a communicative act is dependent on two factors: the uncertainty regarding which action a collaborator will take and the difference in utility given each potential outcome. During evaluation of such communicative acts, for each potential action response fo ...
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[pdf]

... a current research focus in for instance space exploration or rescue robotics, it cannot be expected of humans to continuously communicate their intentions. Instead, the robot must be able to anticipate a human’s intentions, based on predictive models of human behavior. We consider implicit coordina ...
Execution monitoring in robotics: A survey
Execution monitoring in robotics: A survey

... decision theory. To obtain fault information the decision making must also include fault isolation. A single residual signal is sufficient to detect the presence of a fault but several residual signals are often required for fault isolation. In the literature on analytical-based fault detection thre ...
Using TEAMCORE to Make Agents Team-Ready
Using TEAMCORE to Make Agents Team-Ready

... code. In addition, the required alteration concerns only the teamcore communication interface, which builds on domain-independent knowledge of tasking and monitoring. The end system demonstrates TEAMCORE' s ability to support flexible team assembly in a dynamic environment. The implementation of ROB ...
Are You the Master of Your Fate?
Are You the Master of Your Fate?

... individuals high in self-pity showed generalized externality beliefs, seeing themselves as controlled by both chance and powerful others" (p. 183). In addition, self-pity was shown to be associated with depression, which is linked, in turn, to an external locus of control (Yang & Clum, 2000). This c ...
Fuzzy Expert Control Systems: Knowledge Base Validation
Fuzzy Expert Control Systems: Knowledge Base Validation

... some heuristic is required. It may be obtained either directly or by reasoning procedures. For that purpose, other than equations and algorithms, rules, facts and procedures are used. Also, in the case of multimode operating processes, the supervision system allows the use of the most suitable contr ...
Recommender Systems
Recommender Systems

... which analyzes usage data across users to find wellmatched user-item pairs, has since been juxtaposed against the older methodology of content filtering, which had its original roots in information retrieval. In content filtering, recommendations are not “collaborative” in the sense that suggestions ...
Cognitive Robotics - Knowledge
Cognitive Robotics - Knowledge

... the preconditions of each action in the sequence are satisfied in the state just before the action is executed. Projection is a very basic task since it is necessary for a number of other larger tasks, including planning and high-level program execution, as we will see in the next section. We can su ...
Mapping Between Agent Architectures and Brain Organization
Mapping Between Agent Architectures and Brain Organization

... restricted set of capabilities such as reasoning in a particular domain [6, 60]. Such systems were relatively unconstrained by issues such as timeliness or uncertainty about their perceptions or actions. As a result, early attempts at building CAA, which utilized these techniques, tended to be both ...
Biologically Inspired Adaptive Dynamic Walking of the Quadruped
Biologically Inspired Adaptive Dynamic Walking of the Quadruped

... performed. About dynamic walking on irregular terrain, both biped[1, 2] and quadruped[3, 4] robots have been studied. Most of these earlier studies employed precise models of a robot and an environment, and involved planning joint trajectories as well as controlling joint motions on the basis of an ...
Darwin`s Avatars: a Novel Combination of Gameplay and Procedural
Darwin`s Avatars: a Novel Combination of Gameplay and Procedural

... multiple players having a matching pattern of keys in the right and left halves of the keyboard. This non-intentional ordering of muscles and keys is appropriate to the fundamental gameplay challenge of learning a non-intuitive interface to creature control, and it may also be required if the game i ...
Robotic-fall05-4 - Computer Engineering
Robotic-fall05-4 - Computer Engineering

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Human Implications of Human-Robot Interaction AAAI Press Papers from the AAAI Workshop
Human Implications of Human-Robot Interaction AAAI Press Papers from the AAAI Workshop

... AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the pap ...
AI Armageddon and the Three Laws of Robotics
AI Armageddon and the Three Laws of Robotics

... Shelly under the guise of Frankenstein’s monster (Shelley, 1818). The full title of Shelley’s novel is “Frankenstein, or The Modern Prometheus.” In Greek mythology Prometheus brought fire (technology) to humanity and, consequently, was soundly punished by Zeus. In medieval times, the story of Rabbi ...
Using General-Purpose Planning for Action Selection in
Using General-Purpose Planning for Action Selection in

... not unique to dialogue systems, but is also a problem addressed in a variety of research communities including automated planning. In planning, the emphasis is on applying problem-solving techniques to find an ordered sequence of actions (a plan) that, when chained together, transform an initial sta ...
Predictive Control Algorithms Verification on the Laboratory Helicopter Model
Predictive Control Algorithms Verification on the Laboratory Helicopter Model

... modifications of basic predictive control principle have been created. Some of them, and other important issues like stability are mentioned in [3] or [4]. In this paper, we are engaged in a theoretical derivation of some predictive control methods based on the linear model of controlled system, and ...
3 9 6 SOCIAL CONTROL: Organizational Aspects
3 9 6 SOCIAL CONTROL: Organizational Aspects

... and orders. As a rule, organizations cannot rely on most of their participants to carry out assignments voluntarily. The participants need to be controlled. For organizational means to fulfill their control function they have to be allocated differentially, so that performances desired by organizati ...
Idealizations of Uncertainty, and Lessons from Artificial Intelligence
Idealizations of Uncertainty, and Lessons from Artificial Intelligence

... and question-answering systems." This paper asserts that, in fact, the early challenges of AI remain unaddressed. This paper will attempt to show that the modelling of probabilities does not fundamentally overcome these persistent challenges of modelling human decisionmaking. Instead, it only augmen ...
Anthropomorphism: Opportunities and Challenges
Anthropomorphism: Opportunities and Challenges

... created a typology of signals and cues that robots emit during interaction and which can affect their perceived humanlikeness. Choi and Kim [41] proposed that anthropomorphism of robots involves: appearance, human–robot interaction, and the accordance of the two former measurements. The distinction ...
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Why do anything? Abstract

... There is also the question of what level of control structure sophistication is required for any of these states. It does not make (much or any) sense to discuss how an insect, for example an ant, can grieve over the loss of fellow ants. Why therefore should it make more sense to discuss how a synth ...
cs-171-01-Agents_smrq16
cs-171-01-Agents_smrq16

... world? • Single agent (vs. multi-agent): An agent operating by itself in an environment. Does the other agent interfere with my performance measure? ...
cs-171-01-Agents
cs-171-01-Agents

... world? • Single agent (vs. multi-agent): An agent operating by itself in an environment. Does the other agent interfere with my performance measure? ...
OPERATING IN THE ROBOTIC MATRIX TRACY MCINTYRE and
OPERATING IN THE ROBOTIC MATRIX TRACY MCINTYRE and

... automation will ultimately result in significant unemployment as machines begin to match and exceed the capability of workers to perform most routine and repetitive jobs (Ford, 2009). It is a conundrum as to whether robotics can accomplish our goals of improving our lives with efficiency. They perfo ...
kapor mitch speaks
kapor mitch speaks

... A computer has already been built that has beaten the world's best chess player, but few people would argue that Deep Blue can actually "think." This passage demonstrates an extremely simple view of language acquisition and childhood learning; or one might say that the understanding of these process ...
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Adaptive collaborative control

Adaptive collaborative control is the decision-making approach used in hybrid models consisting of finite-state machines with functional models as subcomponents to simulate behavior of systems formed through the partnerships of multiple agents for the execution of tasks and the development of work products. The term “collaborative control” originated from work developed in the late 90’s and early 2000 by Fong, Thorpe, and Baur (1999). It is important to note that according to Fong et al. in order for robots to function in collaborative control, they must be self-reliant, aware, and adaptive. In literature, the adjective “adaptive” is not always shown but is noted in the official sense as it is an important element of collaborative control. The adaptation of traditional applications of control theory in teleoperations sought initially to reduce the sovereignty of “humans as controllers/robots as tools” and had humans and robots working as peers, collaborating to perform tasks and to achieve common goals. Early implementations of adaptive collaborative control centered on vehicle teleoperation. Recent uses of adaptive collaborative control cover training, analysis, and engineering applications in teleoperations between humans and multiple robots, multiple robots collaborating among themselves, unmanned vehicle control, and fault tolerant controller design.Like traditional control methodologies, adaptive collaborative control takes inputs into the system and regulates the output based on a predefined set of rules. The difference is that those rules or constraints only apply to the higher-level strategy (goals and tasks) set by humans. Lower tactical level decisions are more adaptive, flexible, and accommodating to varying levels of autonomy, interaction and agent (human and/or robotic) capabilities. Models under this methodology may query sources in the event there is some uncertainty in a task that affects the overarching strategy. That interaction will produce an alternative course of action if it provides more certainty in support of the overarching strategy. If not or there is no response, the model will continue performing as originally anticipated.Several important considerations are necessary for the implementation of adaptive collaborative control for simulation. As discussed earlier, data is provided from multiple collaborators to perform necessary tasks. This basic function requires data fusion on behalf of the model and potentially a need to set a prioritization scheme for handling continuous streaming of recommendations. The degree of autonomy of the robot in the case of human-robot interaction and weighting of decisional authority in robot-robot interaction are important for the control architecture. The design of interfaces is an important human system integration consideration that must be addressed. Due to the inherent varied interpretational scheme in humans, it becomes an important design factor to ensure the robot(s) are correctly conveying its message when interacting with humans.
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