Distributed Algorithms for Stochastic Source Seeking With Mobile Robot Networks

Autonomous robot networks are an effective tool for monitoring large-scale environmental fields. This paper proposes distributed control strategies for localizing the source of a noisy signal, which could represent a physical quantity of interest such as magnetic force, heat, radio signal, or chemical concentration. We develop algorithms specific to two scenarios: one in which the sensors have a precise model of the signal formation process and one in which a signal model is not available. In the model-free scenario, a team of sensors is used to follow a stochastic gradient of the signal field. Our approach is distributed, robust to deformations in the group geometry, does not necessitate global localization, and is guaranteed to lead the sensors to a neighborhood of a local maximum of the field. In the model-based scenario, the sensors follow a stochastic gradient of the mutual information (MI) between their expected measurements and the expected source location in a distributed manner. The performance is demonstrated in simulation using a robot sensor network to localize the source of a wireless radio signal

Unmanned Aerial Systems for Wildland and Forest Fires

Wildfires represent an important natural risk causing economic losses, human death and important environmental damage. In recent years, we witness an increase in fire intensity and frequency. Research has been conducted towards the development of dedicated solutions for wildland and forest fire assistance and fighting. Systems were proposed for the remote detection and tracking of fires. These systems have shown improvements in the area of efficient data collection and fire characterization within small scale environments. However, wildfires cover large areas making some of the proposed ground-based systems unsuitable for optimal coverage. To tackle this limitation, Unmanned Aerial Systems (UAS) were proposed. UAS have proven to be useful due to their maneuverability, allowing for the implementation of remote sensing, allocation strategies and task planning. They can provide a low-cost alternative for the prevention, detection and real-time support of firefighting. In this paper we review previous work related to the use of UAS in wildfires. Onboard sensor instruments, fire perception algorithms and coordination strategies are considered. In addition, we present some of the recent frameworks proposing the use of both aerial vehicles and Unmanned Ground Vehicles (UV) for a more efficient wildland firefighting strategy at a larger scale.Comment: A recent published version of this paper is available at: https://doi.org/10.3390/drones501001

Goodbye to Projects? ¿ A livelihoods-grounded audit of the Training for Environmental and Agricultural Management (TEAM) project in Lesotho.

Approaches to projects and development have undergone considerable change in the last decade with significant policy shifts on governance, gender, poverty eradication, and environmental issues. Most recently this has led to the adoption and promotion of the sustainable livelihood (SL) approach. The adoption of the SL approach presents challenges to development interventions including: the future of projects and programmes, and sector wide approaches (SWAPs) and direct budgetary support.This paper `A livelihoods-grounded audit of the `Training for Environmental and Agricultural Management (TEAM) project in Lesotho¿ is the eleventh in the series of project working papers.Department for International Developmen

Creating New Ventures: A review and research agenda

Creating new ventures is one of the most central topics to entrepreneurship and is a critical step from which many theories of management, organizational behavior, and strategic management build. Therefore, this review and proposed research agenda is not only relevant to entrepreneurship scholars but also other management scholars who wish to challenge some of the implicit assumptions of their current streams of research and extend the boundaries of their current theories to earlier in the organization’s life. Given that the last systematic review of the topic was published 16 years ago, and that the topic has evolved rapidly over this time, an overview and research outlook are long overdue. From our review, we inductively generated ten sub-topics: (1) Lead founder, (2) Founding team, (3) Social relationships, (4) Cognitions, (5) Emergent organizing, (6) New venture strategy, (7) Organizational emergence, (8) New venture legitimacy, (9) Founder exit, and (10) Entrepreneurial environment. These sub-topics are then organized into three major stages of the entrepreneurial process—co-creating, organizing, and performing. Together, the framework provides a cohesive story of the past and a road map for future research on creating new ventures, focusing on the links connecting these sub-topics

New Project Knowledge Management: Lessons Learned from temporary structures of Public Sector R&D Organisations

R&D Organisations are key players in the knowledge economy and make major contributions to Australia’s efforts to achieve and maintain competitive advantage. The explicit purpose of R&D organisations is to develop new knowledge and apply existing knowledge in new ways. Much of the R&D is carried out in temporary structures or project teams. Drawing upon theory and grounded in case based evidence, this paper explores how new forms of project management affect knowledge generating and application processes in R&D organisations. It appears that much of the knowledge generation and application occurs through taking advantage of almost naturally occurring oscillations between open and closed system practices over the course of projects. Theoretical and practical lessons and implications for further research are advanced