scholarly journals Long-term topological localisation for service robots in dynamic environments using spectral maps

2014 ◽  
Author(s):  
Tomas Krajnik ◽  
Jaime P. Fentanes ◽  
Oscar M. Mozos ◽  
Tom Duckett ◽  
Johan Ekekrantz ◽  
...  
Keyword(s):  
Dynamic Environments ◽  
Service Robots

scholarly journals Improving the robustness of a service robot for continuous indoor monitoring: An incremental approach

2021 ◽  
Vol 18 (3) ◽  
pp. 172988142110121
Author(s):  
David Portugal ◽  
André G Araújo ◽  
Micael S Couceiro
Keyword(s):  
Real World ◽  
Service Robots ◽  
Service Robot ◽  
Technology Readiness ◽  
Incremental Approach ◽  
Technology Readiness Level ◽  
Readiness Level ◽  
Software And Hardware ◽  
Indoor Monitoring

To move out of the lab, service robots must reveal a proven robustness so they can be deployed in operational environments. This means that they should function steadily for long periods of time in real-world areas under uncertainty, without any human intervention, and exhibiting a mature technology readiness level. In this work, we describe an incremental methodology for the implementation of an innovative service robot, entirely developed from the outset, to monitor large indoor areas shared by humans and other obstacles. Focusing especially on the reliability of the fundamental localization system of the robot in the long term, we discuss all the incremental software and hardware features, design choices, and adjustments conducted, and show their impact on the performance of the robot in the real world, in three distinct 24-h long trials, with the ultimate goal of validating the proposed mobile robot solution for indoor monitoring.

scholarly journals Principals between exploitation and exploration: Results of a nationwide study on ambidexterity of school leaders

2020 ◽  
pp. 174114322094570
Author(s):  
Marcus Pietsch ◽  
Pierre Tulowitzki ◽  
Colin Cramer
Keyword(s):  
Dynamic Environments ◽  
Management Research ◽  
Data Set ◽  
Term Survival ◽  
Leadership And Management ◽  
Nationwide Study ◽  
Efficiency Control ◽  
Exploitation And Exploration ◽  
Discontinuous Innovation

Both organizational and management research suggest that schools and their leaders need to be ambidextrous to secure prosperity and long-term survival in dynamic environments characterized by competition and innovation. In this context, ambidexterity refers to the ability to simultaneously pursue exploitation and exploration and thus to deliver efficiency, control and incremental improvements while embracing flexibility, autonomy and discontinuous innovation. Using a unique, randomized and representative data set of N = 405 principals, we present findings on principals’ exploitation and exploration. The results indicate: (a) that principals engage far more often in exploitative than in explorative activities; (b) that exploitative activities in schools are executed at the expense of explorative activities; and (c) that explorative and ambidextrous activities of principals are positively associated with the (perceived) competition between schools. The study brings a novel perspective to educational research and demonstrates that applying the concept of ambidexterity has the potential to further our understanding of effective educational leadership and management.

scholarly journals Trust Miscalibration Is Sometimes Necessary: An Empirical Study and a Computational Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Michael G. Collins ◽  
Ion Juvina
Keyword(s):  
Empirical Study ◽  
Cognitive Model ◽  
Strategic Interaction ◽  
Dynamic Environments ◽  
General Idea ◽  
Trust Game ◽  
Negative Consequences ◽  
Sustained Success ◽  
Investment Portfolios

The literature on trust seems to have reached a consensus that appropriately calibrated trust in humans or machines is highly desirable; miscalibrated (i.e., over- or under-) trust has been thought to only have negative consequences (i.e., over-reliance or under-utilization). While not invalidating the general idea of trust calibration, a published computational cognitive model of trust in strategic interaction predicts that some local and temporary violations of the trust calibration principle are critical for sustained success in strategic situations characterized by interdependence and uncertainty (e.g., trust game, prisoner’s dilemma, and Hawk-dove). This paper presents empirical and computational modeling work aimed at testing the predictions of under- and over-trust in an extension of the trust game, the multi-arm trust game, that captures some important characteristics of real-world interpersonal and human-machine interactions, such as the ability to choose when and with whom to interact among multiple agents. As predicted by our previous model, we found that, under conditions of increased trust necessity, participants actively reconstructed their trust-investment portfolios by discounting their trust in their previously trusted counterparts and attempting to develop trust with the counterparts that they previously distrusted. We argue that studying these exceptions of the principle of trust calibration might be critical for understanding long-term trust calibration in dynamic environments.

An Application of Genetic Programming to Forecasting Foreign Exchange Rates

2010 ◽  
pp. 26-48
Author(s):  
Muneer Buckley ◽  
Zbigniew Michalewicz ◽  
Ralf Zurbruegg
Keyword(s):  
Exchange Rate ◽  
Genetic Programming ◽  
Exchange Rates ◽  
Foreign Exchange ◽  
Economic Model ◽  
Dynamic Environments ◽  
Foreign Exchange Rates ◽  
Better Than ◽  
Made In

There is a great need for accurate predictions of foreign exchange rates. Many industries participate in foreign exchange scenarios with little idea where the exchange rate is moving, and what the optimum decision to make at any given time is. Although current economic models do exist for this purpose, improvements could be made in both their flexibility and adaptability. This provides much room for models that do not suffer from such constraints. This chapter proposes the use of a genetic program (GP) to predict future foreign exchange rates. The GP is an extension of the DyFor GP tailored for forecasting in dynamic environments. The GP is tested on the Australian / US (AUD/USD) exchange rate and compared against a basic economic model. The results show that the system has potential in forecasting long term values, and may do so better than established models. Further improvements are also suggested.

scholarly journals Long-term 3D map maintenance in dynamic environments

2014 ◽  
Author(s):  
Francois Pomerleau ◽  
Philipp Krusi ◽  
Francis Colas ◽  
Paul Furgale ◽  
Roland Siegwart
Keyword(s):  
Dynamic Environments

PLANNING AND REACTING ACROSS SUPERVENIENT LEVELS OF REPRESENTATION

1992 ◽  
Vol 01 (03n04) ◽  
pp. 411-449 ◽  
Author(s):  
LEE SPECTOR ◽  
JAMES HENDLER
Keyword(s):  
Control Systems ◽  
Intelligent Systems ◽  
Hierarchical Control ◽  
Dynamic Environments ◽  
Ai Planning ◽  
Planning Systems ◽  
Complex Dynamic ◽  
Strong Constraint ◽  
External Agents

For intelligent systems to interact with external agents and changing domains, they must be able to perceive and to affect their environments while computing long term projection (planning) of future states. This paper describes and demonstrates the supervenience architecture, a multilevel architecture for integrating planning and reacting in complex, dynamic environments. We briefly review the underlying concept of supervenience, a form of abstraction with affinities both to abstraction in AI planning systems, and to knowledge-partitioning schemes in hierarchical control systems. We show how this concept can be distilled into a strong constraint on the design of dynamic-world planning systems. We then describe the supervenience architecture and an implementation of the architecture called APE (for Abstraction-Partitioned Evaluator). The application of APE to the HomeBot domain is used to demonstrate the capabilities of the architecture.

scholarly journals MERLIN a Cognitive Architecture for Service Robots

2020 ◽  
Vol 10 (17) ◽  
pp. 5989
Author(s):  
Miguel Á. González-Santamarta ◽  
Francisco J. Rodríguez-Lera ◽  
Claudia Álvarez-Aparicio ◽  
Ángel M. Guerrero-Higueras ◽  
Camino Fernández-Llamas
Keyword(s):  
Operating System ◽  
Cognitive Architecture ◽  
Public Spaces ◽  
Service Robots ◽  
Hybrid Architecture ◽  
Cognitive Architectures ◽  
Robot Operating System ◽  
Robot Behavior ◽  
Short And Long Term

Many social robots deployed in public spaces hide hybrid cognitive architectures for dealing with daily tasks. Mostly, two main blocks sustain these hybrid architectures for robot behavior generation: deliberative and behavioral-based mechanisms. Robot Operating System offers different solutions for implementing these blocks, however, some issues arise when both are released in the robot. This paper presents a software engineering approach for normalizing the process of integrating them and presenting them as a fully cognitive architecture named MERLIN. Providing implementation details and diagrams for established the architecture, this research tests empirically the proposed solution using a variation from the challenge defined in the SciRoc @home competition. The results validate the usability of our approach and show MERLIN as a hybrid architecture ready for short and long-term tasks, showing better results than using a by default approach, particularly when it is deployed in highly interactive scenarios.

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