9,218 research outputs found

    Aerial-Ground collaborative sensing: Third-Person view for teleoperation

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    Rapid deployment and operation are key requirements in time critical application, such as Search and Rescue (SaR). Efficiently teleoperated ground robots can support first-responders in such situations. However, first-person view teleoperation is sub-optimal in difficult terrains, while a third-person perspective can drastically increase teleoperation performance. Here, we propose a Micro Aerial Vehicle (MAV)-based system that can autonomously provide third-person perspective to ground robots. While our approach is based on local visual servoing, it further leverages the global localization of several ground robots to seamlessly transfer between these ground robots in GPS-denied environments. Therewith one MAV can support multiple ground robots on a demand basis. Furthermore, our system enables different visual detection regimes, and enhanced operability, and return-home functionality. We evaluate our system in real-world SaR scenarios.Comment: Accepted for publication in 2018 IEEE International Symposium on Safety, Security and Rescue Robotics (SSRR

    New Product Development in Virtual Environment

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    Purpose - The literature on the topic has evolved exponentially since eight years ago. Relaying on a review of studies published in recent years, this article proposes and discusses a framework which incorporates a set of virtual teams involved in a new product development initiative. Design/methodology/approach – A range of academic and practitioner literature related to virtual teams and virtual new product development is reviewed. What is Virtual New Product Development and what determines its development in manufacturing firms? These two questions are answered. Findings - The decision to use a virtual team is often a necessity and not a choice; being ‘virtual’ is in most cases not an alternative but a requirement. Enterprise may benefit from building and maintain the virtual teams in a number of ways such as achieving higher quality, accessing and capturing dispersed knowledge and skills regarding the multifunctional and multi-use components and modules, electronically unite experts in highly specialized fields, collaborating more productivity at a distance, achieving tight schedules and start quickly, reducing travel time and cost, enabling the recruitment of talented employees, builds diverse teams, promoting proactive employment and finally reducing discrimination in enterprises. Originality/value - The results of an academic literature review were employed to the literature so far has not paid adequate attention to the virtual team activities in NPD. The results highlight several avenues which would help managers and policy makers to better foster cyber new product development and designers to better channel of their efforts in the design and manufacturing domain.Keywords - New product Development; Virtual teams; Concurrent Collaboration; Review paper

    Multi-robot team formation control in the GUARDIANS project

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    Purpose The GUARDIANS multi-robot team is to be deployed in a large warehouse in smoke. The team is to assist firefighters search the warehouse in the event or danger of a fire. The large dimensions of the environment together with development of smoke which drastically reduces visibility, represent major challenges for search and rescue operations. The GUARDIANS robots guide and accompany the firefighters on site whilst indicating possible obstacles and the locations of danger and maintaining communications links. Design/methodology/approach In order to fulfill the aforementioned tasks the robots need to exhibit certain behaviours. Among the basic behaviours are capabilities to stay together as a group, that is, generate a formation and navigate while keeping this formation. The control model used to generate these behaviours is based on the so-called social potential field framework, which we adapt to the specific tasks required for the GUARDIANS scenario. All tasks can be achieved without central control, and some of the behaviours can be performed without explicit communication between the robots. Findings The GUARDIANS environment requires flexible formations of the robot team: the formation has to adapt itself to the circumstances. Thus the application has forced us to redefine the concept of a formation. Using the graph-theoretic terminology, we can say that a formation may be stretched out as a path or be compact as a star or wheel. We have implemented the developed behaviours in simulation environments as well as on real ERA-MOBI robots commonly referred to as Erratics. We discuss advantages and shortcomings of our model, based on the simulations as well as on the implementation with a team of Erratics.</p

    Al-Robotics team: A cooperative multi-unmanned aerial vehicle approach for the Mohamed Bin Zayed International Robotic Challenge

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    The Al-Robotics team was selected as one of the 25 finalist teams out of 143 applications received to participate in the first edition of the Mohamed Bin Zayed International Robotic Challenge (MBZIRC), held in 2017. In particular, one of the competition Challenges offered us the opportunity to develop a cooperative approach with multiple unmanned aerial vehicles (UAVs) searching, picking up, and dropping static and moving objects. This paper presents the approach that our team Al-Robotics followed to address that Challenge 3 of the MBZIRC. First, we overview the overall architecture of the system, with the different modules involved. Second, we describe the procedure that we followed to design the aerial platforms, as well as all their onboard components. Then, we explain the techniques that we used to develop the software functionalities of the system. Finally, we discuss our experimental results and the lessons that we learned before and during the competition. The cooperative approach was validated with fully autonomous missions in experiments previous to the actual competition. We also analyze the results that we obtained during the competition trials.Unión Europea H2020 73166
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