14 research outputs found
Proscriptive Bayesian Programming Application for Collision Avoidance
Evolve safely in an unchanged environment
and possibly following an optimal trajectory is one big
challenge presented by situated robotics research field. Collision
avoidance is a basic security requirement and this
paper proposes a solution based on a probabilistic approach
called Bayesian Programming. This approach aims to deal
with the uncertainty, imprecision and incompleteness of the
information handled. Some examples illustrate the process
of embodying the programmer preliminary knowledge into
a Bayesian program and experimental results of these examples
implementation in an electrical vehicle are described
and commented. Some videos illustrating these experiments
can be found at http://www-laplace.imag.fr
An Autonomous Car-Like Robot Navigating Safely Among Pedestrians
voir basilic : http://emotion.inrialpes.fr/bibemotion/2004/PHKBBL04/ address: New Orleans, LA (US)The recent development of a new kind of public transporlation system relies on a particular douhlesteering kinematic structure enhancing maneuverability in clulteml environments such as downtown areas. We call bi-steerable car a vehicle showing this kind of kinematics. Endowed with autonomy Capacities, the hi-steerahle car ought to combine suitably and safely a se1 of abilities: simultaneous localisation and environment modelling, motion planning and motion execution amidst moderately dynamic obstacles. In this paper we address the integration of these four essential autonomy abilities into a single application. Specifically, we aim at reactive execution of planned motion. We address the fusion of controls issued from the control law and the obstacle avoidance module using prohahilistic techniques
Vision-based trajectory tracking algorithm with obstacle avoidance for a wheeled mobile robot
Wheeled mobile robots are becoming increasingly important in industry as means of
transportation, inspection, and operation because of their efficiency and flexibility.
The design of efficient algorithms for autonomous or quasi-autonomous mobile robots
navigation in dynamic environments is a challenging problem that has been the focus
of many researchers dining the past few decades.
Computer vision, maybe, is not the most successful sensing modality used in mobile
robotics until now (sonar and infra-red sensors for example being preferred), but it is
the sensor which is able to give the information ââwhatâ and ââwhereâ most completely
for the objects a robot is likely to encounter.
In this thesis, we deal with using vision system to navigate the mobile robot to track
a reference trajectory and using a sensor-based obstacle avoidance method to pass by
the objects located on the trajectory. A tracking control algorithm is also described
in this thesis. Finally, The experimental results are presented to verify the tracking
and control algorithms
Governing fiduciary relationships or building up a governance model for trust in AI? : Review of healthcare as a socio-technical system
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an open access article under the CC BY license,http://creativecommons.org/licenses/by/4.0/Fiduciary law aims to mitigate the inherent risk of âtrustâ, which helps restore interpersonal trust. It remains to be answered how trust should be governed in an AI-driven socio-technical system where technical and social factors are involved including interpersonal relationships and AI-human interactions. Taking interpersonal trust as the backdrop of analysis, this article seeks answers to this question focusing on healthcare. It firstly draws a conceptual framework regarding 'trust' and investigates its interplay with AI as well as examines how it is governed under the fiduciary law. Subsequently, it upholds a socio-technical system perspective, examining how to enable and sustain trust in an AI-driven socio-technical system. A governance model is then developed to elicit âintrinsicâ, âdynamicâ and âethicalâ values of trust attributed to various elements under a tri-partite framework. It is recognised that findings of the literature as to trust, its trajectory and implications can be implemented within the proposed framework. Furthermore, it brings novelty by re-conceptualising the elements of 'trust' and associated values, marking distinction to its interpersonal roots and fiduciary relationships. It is considered this governance model, by upholding a holistic viewpoint, provides a generalisable framework that can construct, maintain and restore trust in AI-driven socio-technical systems.Peer reviewe
Programmation Bayésienne de Comportements Animaux sur un Robot Mobile
voir basilic : http://emotion.inrialpes.fr/bibemotion/2006/Per06/ type: MĂ©moire de Fins d'Etudes institution: Conservatoire National des Arts et MĂ©tiers address: Grenoble (FR
Safety and Reliability - Safe Societies in a Changing World
The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management
- mathematical methods in reliability and safety
- risk assessment
- risk management
- system reliability
- uncertainty analysis
- digitalization and big data
- prognostics and system health management
- occupational safety
- accident and incident modeling
- maintenance modeling and applications
- simulation for safety and reliability analysis
- dynamic risk and barrier management
- organizational factors and safety culture
- human factors and human reliability
- resilience engineering
- structural reliability
- natural hazards
- security
- economic analysis in risk managemen
Intelligent Systems
This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier
Humanist Narratology and the Suburban Ensemble Dramedy
What is a âhumanistic dramaâ? Although we might describe narrative works as humanist, and references to the humanistic drama abound across a breadth of critical media, including film and literary theory, the parameters of these terms remain elliptical. My work attempts to clarify the narrative conditions of humanism. In particular, humanists ask how we use narrative texts to complicate our understanding of others, and question the ethics and efficacy of attempts to represent human social complexity in fiction. After historicising narrative humanism and situating it among related philosophies, I develop humanist hermeneutics as a method for reading fictive texts, and provide examples of such readings. I integrate literary Darwinism, anthropology, cognitive science and social psychology into a social narratology, which catalogues the social functions of narrative. This expansive study asks how we can unite the descriptive capabilities of social science with the more prescriptive ethical inquiry of traditional humanism, and aims to demonstrate their productive compatibility. From this groundwork, I then look at a cluster of humanistic film texts: the suburban ensemble dramedy, a phenomenon in millennial American cinema politicising the quotidian and the domestic. Popular works include The Kids Are All Right, Little Miss Sunshine, Little Children, Junebug, The Oranges, and what is arguably the inciting feature in a wave of such films entering production, American Beauty. I provide examples of humanist readings of these films at two levels: an overview of genre development as social phenomenon (including histories of suburban depiction onscreen, ensemble cinema and affective experimentation in recent American filmmaking), followed by a close reading of a progenitor text, Ron Howard's 1989 film Parenthood