Autonomous system (mathematics)

About: Autonomous system (mathematics) is a research topic. Over the lifetime, 1648 publications have been published within this topic receiving 38373 citations.

Situation aware rescue robots

Abstract: We present a model-based approach to the execution and control of an autonomous system, based on flexible behaviours, and supporting a novel view of human-robot interaction. The well-known RoboCup rescue competition is also discussed and presented as a special case for testing human-robot interaction architectures. The activities of the system, according to the components performing them, are modeled as flexible behaviours and are executed according to different modalities, such as fully operated, supervised, fully autonomous. We finally discuss the implementation and tests done both during the contests and in the laboratory, to show performances according to the different modalities.

Strange-Nonchaotic-Attractor-Like Behaviors in Coupled Map System*

Abstract: In a coupled map system, an attractor which seems to be strange nonchaotic attractor (SNA) is discovered for nonzero measure in parameter range. The attractor has nonpositive Lyapunov exponent (LE) and discrete structure. We call it strange-nonchaotic-attractor-like (SNA-like) behavior because the size of its discrete structure decreases with the computing precision increasing and the true SNA does not change. The SNA-like behavior in the autonomous system is born when the truncation error of round-off is amplified to the size of the discrete part of the attractor during the long time interval of positive local LE. The SNA-like behavior is easily mistaken for a true SNA judging merely from the largest LE and the phase portrait in double precision computing. In non-autonomous system an SNA-like attractor is also found.

On stability of moving autonomous mechanical systems under uncertainty

Abstract: Conditions of stability with respect to two measures of autonomous mechanical systems under uncertainty are established by decomposing the phase space of the system, a space of fuzzy sets, and using the natural monotonicity of fuzzy differential equations

Intelligent cooperative behavior control of multiple partner robots

Abstract: Recently multi-agent systems have been discussed to realize a large size of distributed autonomous system. This paper proposes an intelligent control method of multiple partner robots as one of multi-agent systems. First of all, we discuss the current state of researches on the multi-agent systems. Next, to realize a formation behavior, we propose a multi-objective behavior coordination to realize formation behavior based on the integration of the intelligent control from the local viewpoint of individual intelligence and the spring model from the global viewpoint of collective intelligence. Finally, we discuss the effectiveness of the proposed method through several computer simulation results.

Simulations and Self-Driving Cars: A Study of Trust and Consequences

Abstract: Trust plays an essential role in ensuring safe and robust human-robot interaction. Recent work suggests that people can be too trusting of technology, leading to potential dangerous situations. We carried out a series of experiments in an autonomous car simulator, in order to test if there is a difference in people»s behavior when real-life consequences are applied, compared to pure simulation. The study was carried out with six experimental conditions in a between-subject design in which participants (N = 121) interacted with the simulator and were told they could assume control of the autonomous car at any point during the simulation. Results show that participants are significantly less trusting of the autonomous system, when real-life consequences were involved (p = .014).