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Reports on the 2012 AAAI Fall Symposium Series
Reports on the 2012 AAAI Fall Symposium Series

... of Bio-Inspired Swarms Robotic systems composed of a large number of entities, often called robot swarms, are envisioned to play an increasingly important role in applications such as search, rescue, surveillance, and reconnaissance operations. Today mobile robots that are deployed for such applicat ...
An Emotional Mimicking Humanoid Biped Robot and its Quantum
An Emotional Mimicking Humanoid Biped Robot and its Quantum

... capability, thus its access to environment is limited. On the other hand the walking robots such as Honda [28] have much developed walking ability giving them access to powerful environmental information, but they lack learning abilities and sophisticated models of environment. Combining both approa ...
Open resource
Open resource

... vertically. ...
Metrics and benchmarks in human-robot interaction: Recent
Metrics and benchmarks in human-robot interaction: Recent

... Moreover, Kahn et al. (2007) proposed a group of psychological benchmarks in order to evaluate human-like robots empirically. These benchmarks consider the basic characteristics of human behaviors - so as to increase the naturalness of robot behaviors as much as possible - including robot autonomy a ...
Expert System
Expert System

... “Certainty factor” is used for an assessment of the likelihood可能性评估 of one bacteria. MYCIN’s problem solving strategy was simple: For each possible bacteria: Using backward chaining, try to prove that it is the case, finding the certainty. Find a treatment which ” covers” all the bacteria above some ...
AI AND MACHINE LEARNING TECHNIQUES FOR MANAGING
AI AND MACHINE LEARNING TECHNIQUES FOR MANAGING

... unprecedented, unforeseen problems on the basis of even incomplete and imprecise information (Hatvany, 1983). ...
eref Saglroglu Intelligent Systems Research Group, Contra
eref Saglroglu Intelligent Systems Research Group, Contra

... meaningful to robots. Recently there has been increasing interest in upgrading robot intelligence by using multiple sensors as shown in Fig.3. [104,106]. In the figure, for a specific task, cameras provide locational information about the objects. The colour camera helps selecting a particular obje ...
COGNITIVE LEVELS OF EVOLUTION
COGNITIVE LEVELS OF EVOLUTION

... The only general method to increase the variety, while keeping the control manageable, seems to be hierarchy: factorizing the decision problem into different levels, such that a decision at the higher level constrains the variety of the decision at the lower level (Simon, 1962; Heylighen, 1989a). Th ...
sloman
sloman

... A much discussed (and maligned) criterion is the Turing test. The main point to note about this is that it corresponds to a tiny subset of niche space (even if interesting regions of design space are potentially relevant, as Turing claimed, at least implicitly). For someone interested in designs tha ...
Robots and DSP methods: History and perspectives
Robots and DSP methods: History and perspectives

... The teleoperator cannot look at what the remote is doing directly, either because the robot is physically remote (e.g., on Mars) or the local has to be shielded (e.g., in a nuclear or pharmaceutical processing plant hot cell). Therefore, the sensors which acquire information about the remote locatio ...
PDF file
PDF file

... “imitation game,” now called the Turing Test, to test it. The Turing Test had greatly influenced the modern day AI research that followed [2]. Not until the 1980’s had the importance of embodiment received sufficient recognition in the AI community. The behavior-based approach, popularized by Rodney ...
Adapting the Turing Test for Embodied Neurocognitive Evaluation of
Adapting the Turing Test for Embodied Neurocognitive Evaluation of

... considered to exhibit embodied intelligence. There are a number of contexts in which one might prefer verisimilitude over competence. For example, if one’s goal is to develop an artificial agent that can replace a human as a teammate or adversary (e.g., for training, design, or planning), it can be ...
The 2004 Mobile Robot Competition and Exhibition
The 2004 Mobile Robot Competition and Exhibition

... four trends in the development of the systems: (1) increasing video area; (2) more teams generating maps; (3) improving interfaces, and (4) an increasing number of robots. Increasing video area. We have seen a trend toward a larger portion of the screen area being devoted to showing the robot’s-eye ...
Exploring coordination properties within populations of distributed agents Elizabeth Sklar
Exploring coordination properties within populations of distributed agents Elizabeth Sklar

... wireless radio communication) propagates fast; in most environments, all agents within range receive a broadcast at nearly the same time and make their decisions almost simultaneously. In contrast, when using environmental cues, the message is only readable when an agent is within sensorrange and so ...
"Computer Program Learns Language Rules and Composes
"Computer Program Learns Language Rules and Composes

... for as long as seven hours. George is all the more fascinating in that it is given to bouts of distemper and is generally curmudgeonly, which may encourage those who converse with the program to identify it as human, at least on a semi-conscious level. Carpenter says George thinks, from a certain pe ...
Impossibles AIBO Four-Legged Team Description Paper
Impossibles AIBO Four-Legged Team Description Paper

... 4-legged league, agents have to have interactions with several physical objects, e.g. the orange ball. This interaction is typically implemented as a perception-action loop. AIBO Robots are equipped with sensors that perceive physical characteristics of the environment and they use these percepts to ...
A Robot Exploration and Mapping Strategy Based on a Semantic
A Robot Exploration and Mapping Strategy Based on a Semantic

...  Cumulative location error is essentially eliminated while traveling among distinctive places in the topological network by alternating between path-following and hill-climbing control algorithms.  Feedback-guided motion control can draw on the full range of control algorithms and performance anal ...
IJEBM-JeffChang - Intelligent Agents Lab
IJEBM-JeffChang - Intelligent Agents Lab

... robots with leaders and followers. Each autonomous agent is a wheeled mobile robot (WMR) with switching behaviors including target approach and obstacle avoidance. Under the well designed controller, an agent can perform formation tasks together with other agents in order to accomplish a cooperative ...
Learning to Parse Natural Language Commands to a
Learning to Parse Natural Language Commands to a

... Our work falls also into the broader class of grounded language acquisition [24], in which language is learned from situated context, usually by learning over a corpus of parallel language and context data. Other work shows how parsed natural language can be grounded in a robot’s world and action mo ...
Workshops Held at the First AAAI Conference on Human
Workshops Held at the First AAAI Conference on Human

... Understanding, and Dialogue through Crowdsourcing Crowdsourcing has rapidly grown and expanded across different scientific areas as one of the most successful strategies to scaling businesses and processes in a rapid and cost effective way. Since 2005 (when Amazon launched its microtask crowdsourcin ...
THE CHALLENGE OF INTELLIGENT SYSTEMS
THE CHALLENGE OF INTELLIGENT SYSTEMS

... a serious attempt to understand and replicate the phenomena that we have always called ‘intelligence’ – i.e., the generalized, flexible and adaptive kinds of capability that we see in the human brain.” Cai states that intelligent control possesses four features [5]. These are • It is a hybrid contro ...
Machines that dream: A brief introduction into developing artificial
Machines that dream: A brief introduction into developing artificial

... and  good  regulator  theorem  (Conant  and  Ashby,  1970).  But  this  was  not  enough.   Practopoiesis  only  provided  the  basic  structure  of  adaptive  systems.  It  was  necessary   also  to  specify  how  many  levels  of  or ...
State Space Construction by Attention Control
State Space Construction by Attention Control

... the sensory data. Therefore, it is necessary to perform a kind of dimensionality reduction to reduce the size of the sensory data. However, our policy in this research approach is that the robot has no access to models based on human intuitions for segmenting features, such as lines, color regions, ...
Planning for Agents with Changing Goals
Planning for Agents with Changing Goals

... drones and mules, household assistance agents and search and rescue robots. The level of autonomy desired of such robotic agents can be achieved only by integrating them with planning systems that can plan not only for the initial goals, but also updates to these goals and the state of the world. Re ...
Convergence singularities: As man becomes machine
Convergence singularities: As man becomes machine

... computer science as well as the wider communities within society: A singularity event is likely to affect many stakeholders who may interact with and use such systems. Probably one of the strongest contenders for a route to machine consciousness is the development of sophisticated autonomic computer ...
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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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