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.

Model-based autonomous system for performing dexterous, human-level manipulation tasks

Abstract: United States. Defense Advanced Research Projects Agency. Autonomous Robotic Manipulation Program

Notes on Formalizing Coordination

Abstract: This paper concerns with 2-agents coordination games--we call them paradigms of coordination. To coordinate, agents' behaviour must eventually stabilize to a set of basic formulas that express a suitable part of agents' "nature". Four paradigms are advanced and discussed. Several new perspectives are provided to coordinating agents. Coordination via belief revision and cooperation by team work are two.

Approach for Autonomous Robot Navigation in Greenhouse Environment for Integrated Pest Management

Abstract: The use of autonomous robots for certain tasks within agriculture applications can bring many advantages. The H2020-funded GreenPatrol project has developed an autonomous system for pest detection and treatment within commercial greenhouses. In this system the robot will navigate autonomously and regularly inspect crops using an array of cameras and algorithms to detect and treat pests at an early stage in order to improve yield, reduce pesticide use and improve worker conditions. A key enabler for this application is the localization and navigation function of the robot platform. In order to operate independently and autonomously, the robot must know in real-time its precise location and direction of pointing, it must be able to plan a route through the greenhouse from its current location to where it needs to go, it must be able to control its movements to reach its required destination, and it must be able to identify and avoid obstacles that may obstruct its route. In order to achieve these goals the robot sub-systems include an absolute localization function, to provide precise absolute position and heading in a global reference frame in real-time, a relative localization function, to provide more fidelity of the exact location and orientation of the robot with respect to its surroundings in the greenhouse, and a navigation function, to plan the route through the greenhouse and provide movement instructions to the robot platform. This paper describes the localization system of the GreenPatrol robot and presents results of testing for each of the functions. The tests include simulations as well as data collections and tests of the real-time system using the robot platform. The results show the high performance of the positioning capability and heading information for the individual systems.

Autonomous line follower robot controlled by cell culture

Abstract: Neuro-electronic hybrid promises to bring up a model architecture for computing. Such computing architecture could help to bring the power of biological connection and electronic circuits together for better computing paradigm. Such paradigms for solving real world tasks with higher accuracy is on demand now. A robot as a autonomous system is modeled here to navigate following a particular line. Sensory inputs from robot is directed as input to the cell culture in response to which motor commands are generated from the culture.

A Hybrid Model for Safety and Security Assessment of Autonomous Vehicles

Abstract: The competition to invent affordable, fully functional, safe and secure vehicles is driven by multiple challenges. One of the main challenge is the safety and security verification of the developed autonomous system structures. While there are many implemented strategies to ensure the safe and secure driving mission, there are only a few methods that can assess the resulting complex system structure realistically and within a reasonable time-span under consideration of the safety and security impacts. On the one hand, there are analytical approaches, e.g. Markov methods, which are often suffering from restrictive assumptions leading to worst-case assessments. As a result costly additional safety and security elements must be included to achieve the desired level of safety and security. On the other hand, numerical methods, such as Monte-Carlo simulation, can consider complex system structures and strategies but are very time-consuming, because every change of the system must be assessed by a new simulation. Consequential, the development times are increasing exponentially with every system structure update. Therefore, new approaches must be invented to support a time-efficient and realistic assessment of autonomous system structures, which includes the consideration of the intertwined dependencies and effects of safety and security. In this paper a hybrid model is presented, that combines the analytical and numerical approach to achieve a realistic assessment, while keeping the time effort reasonable. The hybrid model especially acknowledges and models the relation between safety and security, which does have a significant influence for fully autonomous vehicles.