Relevant bibliographies by topics / Cooperative exploration

Academic literature on the topic 'Cooperative exploration'

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Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Cooperative exploration"

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Zhang, Fumin, and Naomi Ehrich Leonard. "Cooperative Filters and Control for Cooperative Exploration." IEEE Transactions on Automatic Control 55, no. 3 (March 2010): 650–63. http://dx.doi.org/10.1109/tac.2009.2039240.

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Chao-xia, Shi, Hong Bing-rong, and Wang Yan-qing. "Cooperative Exploration by Multi-Robots without Global Localization." International Journal of Advanced Robotic Systems 4, no. 3 (September 1, 2007): 36. http://dx.doi.org/10.5772/5682.

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Efficient exploration of unknown environments is a fundamental problem in mobile robotics. We propose a novel topological map whose nodes are represented with the range finder's free beams together with the visual scale-invariant features. The topological map enables teams of robots to efficiently explore environments from different, unknown locations without knowing their initial poses, relative poses and global poses in a certain world reference frame. The experiments of map merging and coordinated exploration demonstrate the proposed map is not only easy for merging, but also convenient for robust and efficient explorations in unknown environments.
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Blamont, Jacques. "International space exploration: Cooperative or competitive?" Space Policy 21, no. 2 (May 2005): 89–92. http://dx.doi.org/10.1016/j.spacepol.2005.03.003.

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Rathnam, Ravi K., and Andreas Birk. "Cooperative 3D Exploration under Communication Constraints." IFAC Proceedings Volumes 45, no. 5 (2012): 89–93. http://dx.doi.org/10.3182/20120410-3-pt-4028.00016.

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Fitriani, Fitriani. "Penguatan kapasitas kelembagaan gapoktan melalui pembentukan koperasi pertanian." Masyarakat, Kebudayaan dan Politik 28, no. 2 (April 1, 2015): 63. http://dx.doi.org/10.20473/mkp.v28i22015.63-69.

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Gapoktan or Farmers Group constructed with a focus on improving agricultural production. Gapoktan generally face problems such as limited access to capital, technology and markets. A lack of communication and coordination between the farmer and board member Gapoktan also cause ineffectiveness in Gapoktan performance. This study aims to identify the fusion process and consolidation of institutions Gapoktan become new economic institutions as agricultural cooperatives, also to discover the prerequisite conditions and the necessary support in the new cooperative institutions manifest in District Adiluwih. Methods RRA (rapid rural appraisal) and FGDs conducted to produce concrete solutions for Gapoktan institutional problem resolution. Literacy exploration is an important part in analyzing the problems solving. The finding concluded that the fusion of Gapoktan to cooperative institution took place gradually. The new cooperative called LKMA Sharia Adi Makmur Cooperation. Internal consolidation in Gapoktan board continued with the preparation of cooperative establishment. Furthermore, a new cooperative members meeting, registration at the Notary, and the filing of a legal entity were the process of the cooperative establishment. Prerequisite condition for cooperative operation is the good financial and managerial performances. Supporting conditions is necessary for cooperative perform. Conducive business circumstance on cooperative core business is needed. Strengthening cooperative networking with strategic partners is main factor to increase the capacity of the cooperative effort.
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Shumeta, Zekarias, and Marijke D’Haese. "Do coffee cooperatives benefit farmers? An exploration of heterogeneous impact of coffee cooperative membership in Southwest Ethiopia." International Food and Agribusiness Management Review 19, no. 4 (December 1, 2016): 37–52. http://dx.doi.org/10.22434/ifamr2015.0110.

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Smallholder farmers’ participation in agricultural cooperatives is often promoted as a promising strategy for overcoming market imperfections and to increase farmers’ productivity and income. In recognition of this potential, in recent years, Ethiopia has shown renewed interest in promoting cooperatives. However, there is lack of empirical evidence of the impact that cooperatives have on farmers’ performance in Ethiopia. Using a matching technique, we evaluate the impact of coffee cooperatives on the performance of their member households in terms of income and coffee production. We use data from coffee farmers in south-west Ethiopia. The overall results suggest that members of cooperatives are not faring much better than non-members. The treatment effects we measured were not statistically significant from zero. Yet, the aggregate figures mask differences between cooperatives and amongst individual cooperative members. Average treatment effects on members differ between cooperatives, in general older members, those who have benefitted from more education and those with larger coffee plantations seem to benefit more from membership. Our analysis sheds light on the heterogeneity in the impact that membership of a cooperative can have: this differs by cooperative and by members within cooperatives, a finding that has important policy implications.
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Wu, Wencen, and Fumin Zhang. "Robust Cooperative Exploration With a Switching Strategy." IEEE Transactions on Robotics 28, no. 4 (August 2012): 828–39. http://dx.doi.org/10.1109/tro.2012.2190182.

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Hu, Jinwen, Jun Xu, and Lihua Xie. "Cooperative Search and Exploration in Robotic Networks." Unmanned Systems 01, no. 01 (June 20, 2013): 121–42. http://dx.doi.org/10.1142/s2301385013500064.

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Great potentials of robotic networks have been found in numerous applications such as environmental monitoring, battlefield surveillance, target search and rescue, oil and gas exploration, etc. A networked multi-robot system allows cooperative actions among robots and can achieve much beyond the summed capabilities of each individual robot. However, it also poses new research and technical challenges including novel methods for multi-agent data fusion, topology control and cooperative path planning, etc. In this paper, we review recent developments in cooperative control of robotic networks with focus on search and exploration. We shall first present a general formulation of the search and exploration problem, and then divide the overall search strategy into different modules based on their functions. Methods and algorithms are illustrated and compared following the classification of the modules. Moreover, a 3D simulator developed in our laboratory is introduced and its application is demonstrated by experiments. Finally, challenges and future research in this area are provided.
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Sapaty, Peter S. "Cooperative exploration of distributed worlds in WAVE." Artificial Life and Robotics 4, no. 2 (June 2000): 109–18. http://dx.doi.org/10.1007/bf02480865.

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Huang, Xiaoci. "Improved ‘Infotaxis’ Algorithm-Based Cooperative Multi-USV Pollution Source Search Approach in Lake Water Environment." Symmetry 12, no. 4 (April 4, 2020): 549. http://dx.doi.org/10.3390/sym12040549.

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This paper studies the cooperation method of multi-cooperative Unmanned Surface Vehicles (USVs) for chemical pollution source monitoring in a dynamic water environment. Multiple USVs formed a mobile sensor network in a symmetrical or asymmetrical formation. Based on ‘Infotaxis’ algorithms for multi-USV, an improved shared probability is proposed for solving the problems of low success rate and low efficiency resulting from the cognitive differences of multi-USV in cooperative exploration. By introducing the confidence factor, the cognitive differences between USVs are coordinated. The success rate and the efficiency of exploration are improved. To further optimize the exploration strategy, the particle swarm optimization (PSO) algorithm is introduced into the ‘Infotaxis’ algorithm to plan the USVs’ exploration path. This method is called the ‘PSO-Infotaxis’ algorithm. The effectiveness of the proposed method is verified by simulation and laboratory experiments. A comparison of the test results shows that the ‘PSO-Infotaxis’ algorithm is superior with respect to exploring efficiency. It can reduce the uncertainty of the estimation for source location faster and has lower exploration time, which is most important for the exploration of a large range of water areas.
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Dissertations / Theses on the topic "Cooperative exploration"

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Kim, Jonghoek. "Simultaneous cooperative exploration and networking." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39536.

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This thesis provides strategies for multiple vehicles to explore unknown environments in a cooperative and systematic manner. These strategies are called Simultaneous Cooperative Exploration and Networking (SCENT) strategies. As the basis for development of SCENT strategies, we first tackle the motion control and planning for one vehicle with range sensors. In particular, we develop the curve-tracking controllers for autonomous vehicles with rigidly mounted range sensors, and a provably complete exploration strategy is proposed so that one vehicle with range sensors builds a topological map of an environment. The SCENT algorithms introduced in this thesis extend the exploration strategy for one vehicle to multiple vehicles. The enabling idea of the SCENT algorithms is to construct a topological map of the environment, which is considered completely explored if the map corresponds to a complete Voronoi diagram of the environment. To achieve this, each vehicle explores its local area by incrementally expanding the already visited areas of the environment. At the same time, every vehicle deploys communication devices at selected locations and, as a result, a communication network is created concurrently with a topological map. This additional network allows the vehicles to share information in a distributed manner resulting in an efficient exploration of the workspace. The efficiency of the proposed SCENT algorithms is verified through theoretical investigations as well as experiments using mobile robots. Moreover, the resulting networks and the topological maps are used to solve coordinated multi-robot tasks, such as capturing intruders.
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Craparo, Emily M. (Emily Marie) 1980. "Cooperative exploration under communication constraints." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46558.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.
Includes bibliographical references (leaves 131-137).
The cooperative exploration problem necessarily involves communication among agents, while the spatial separation inherent in this task places fundamental limits on the amount of data that can be transmitted. However, the impact of limited communication on the exploration process has not been fully characterized. Existing exploration algorithms do not realistically model the tradeoff between expansion, which allows more rapid exploration of the area of interest, and maintenance of close relative proximity among agents, which facilitates communication. This thesis develops new algorithms applicable to the problem of cooperative exploration under communication constraints. The exploration problem is decomposed into two parts. In the first part, cooperative exploration is considered in the context of a hierarchical communication framework known as a mobile backbone network. In such a network, mobile backbone nodes, which have good mobility and communication capabilities, provide communication support for regular nodes, which are constrained in movement and communication capabilities but which can sense the environment. New exact and approximation algorithms are developed for throughput optimization in networks composed of stationary regular nodes, and new extensions are formulated to take advantage of regular node mobility. These algorithms are then applied to a cooperative coverage problem. In the second part of this work, techniques are developed for utilizing a given level of throughput in the context of cooperative estimation. The mathematical properties of the information form of the Kalman filter are leveraged in the development of two algorithms for selecting highly informative portions of the information matrix for transmission. One algorithm, a fully polynomial time approximation scheme, provides provably good results in computationally tractable time for problem instances of a particular structure. The other, a heuristic method applicable to instances of arbitrary matrix structure, performs very well in simulation for randomly-generated problems of realistic dimension.
by Emily M. Craparo.
Ph.D.
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Rekleitis, Ioannis. "Cooperative localization and multi-robot exploration." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84423.

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This thesis has two main contributions. The first contribution is the use of cooperative localization for decoupling the positional error of a moving robot from its environment. The second contribution is the development of efficient multi-robot exploration strategies for an unknown environment.
The proposed method is designed to be robust in the face of arbitrarily large odometry errors or objects with poor reflectance characteristics. Central to the exploration strategy is a sensor (robot tracker) mounted on a robot that could track a second mobile robot and accurately report its relative position. Our exploration strategies use the robot tracker sensor to sweep areas of free space between stationary and moving robots and to generate a graph-based description of the environment. This graph is used to guide the exploration process. Depending on the size of the environment relative to the range of the robot tracker, different spatial decompositions are used: a triangulation or a trapezoidal decomposition of the free space. Complete exploration without any overlaps is guaranteed as a result of the guidance provided by the dual graph of the spatial decomposition of the environment.
The uncertainty in absolute robot positions and the resulting uncertainty in the map is reduced through the use of a probabilistic framework based on particle filtering (a Monte Carlo simulation technique). Particle filtering is a probabilistic sampling technique used to efficiently model complex probability distributions that cannot be effectively described using classical methods (such as Kalman filters).
We present experimental results from two different implementations of the robot tracker sensor, in simulated and in real environments. The accuracy of the resulting map increases with the use of cooperative localization. Furthermore, the deterioration of the floor conditions did not affect the quality of the map verifying the decoupling of positioning error from the environment.
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Wu, Wencen. "Bio-inspired cooperative exploration of noisy scalar fields." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/48940.

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A fundamental problem in mobile robotics is the exploration of unknown fields that might be inaccessible or hostile to humans. Exploration missions of great importance include geological survey, disaster prediction and recovery, and search and rescue. For missions in relatively large regions, mobile sensor networks (MSN) are ideal candidates. The basic idea of MSN is that mobile robots form a sensor network that collects information, meanwhile, the behaviors of the mobile robots adapt to changes in the environment. To design feasible motion patterns and control of MSN, we draw inspiration from biology, where animal groups demonstrate amazingly complex but adaptive collective behaviors to changing environments. The main contributions of this thesis include platform independent mathematical models for the coupled motion-sensing dynamics of MSN and biologically-inspired provably convergent cooperative control and filtering algorithms for MSN exploring unknown scalar fields in both 2D and 3D spaces. We introduce a novel model of behaviors of mobile agents that leads to fundamental theoretical results for evaluating the feasibility and difficulty of exploring a field using MSN. Under this framework, we propose and implement source seeking algorithms using MSN inspired by behaviors of fish schools. To balance the cost and performance in exploration tasks, a switching strategy, which allows the mobile sensing agents to switch between individual and cooperative exploration, is developed. Compared to fixed strategies, the switching strategy brings in more flexibility in engineering design. To reveal the geometry of 3D spaces, we propose a control and sensing co-design for MSN to detect and track a line of curvature on a desired level surface.
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Mahdoui, Chedly Nesrine. "Communicating multi-UAV system for cooperative SLAM-based exploration." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2447/document.

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Dans la communauté robotique aérienne, un croissant intérêt pour les systèmes multirobot (SMR) est apparu ces dernières années. Cela a été motivé par i) les progrès technologiques, tels que de meilleures capacités de traitement à bord des robots et des performances de communication plus élevées, et ii) les résultats prometteurs du déploiement de SMR tels que l’augmentation de la zone de couverture en un minimum de temps. Le développement d’une flotte de véhicules aériens sans pilote (UAV: Unmanned Aerial Vehicle) et de véhicules aériens de petite taille (MAV: Micro Aerial Vehicle) a ouvert la voie à de nouvelles applications à grande échelle nécessitant les caractéristiques de tel système de systèmes dans des domaines tels que la sécurité, la surveillance des catastrophes et des inondations, la recherche et le sauvetage, l’inspection des infrastructures, et ainsi de suite. De telles applications nécessitent que les robots identifient leur environnement et se localisent. Ces tâches fondamentales peuvent être assurées par la mission d’exploration. Dans ce contexte, cette thèse aborde l’exploration coopérative d’un environnement inconnu en utilisant une équipe de drones avec vision intégrée. Nous avons proposé un système multi-robot où le but est de choisir des régions spécifiques de l’environnement à explorer et à cartographier simultanément par chaque robot de manière optimisée, afin de réduire le temps d’exploration et, par conséquent, la consommation d’énergie. Chaque UAV est capable d’effectuer une localisation et une cartographie simultanées (SLAM: Simultaneous Localization And Mapping) à l’aide d’un capteur visuel comme principale modalité de perception. Pour explorer les régions inconnues, les cibles – choisies parmi les points frontières situés entre les zones libres et les zones inconnues – sont assignées aux robots en considérant un compromis entre l’exploration rapide et l’obtention d’une carte détaillée. À des fins de prise de décision, les UAVs échangent habituellement une copie de leur carte locale, mais la nouveauté dans ce travail est d’échanger les points frontières de cette carte, ce qui permet d’économiser la bande passante de communication. L’un des points les plus difficiles du SMR est la communication inter-robot. Nous étudions cette partie sous les aspects topologiques et typologiques. Nous proposons également des stratégies pour faire face à l’abandon ou à l’échec de la communication. Des validations basées sur des simulations étendues et des bancs d’essai sont présentées
In the aerial robotic community, a growing interest for Multi-Robot Systems (MRS) appeared in the last years. This is thanks to i) the technological advances, such as better onboard processing capabilities and higher communication performances, and ii) the promising results of MRS deployment, such as increased area coverage in minimum time. The development of highly efficient and affordable fleet of Unmanned Aerial Vehicles (UAVs) and Micro Aerial Vehicles (MAVs) of small size has paved the way to new large-scale applications, that demand such System of Systems (SoS) features in areas like security, disaster surveillance, inundation monitoring, search and rescue, infrastructure inspection, and so on. Such applications require the robots to identify their environment and localize themselves. These fundamental tasks can be ensured by the exploration mission. In this context, this thesis addresses the cooperative exploration of an unknown environment sensed by a team of UAVs with embedded vision. We propose a multi-robot framework where the key problem is to cooperatively choose specific regions of the environment to be simultaneously explored and mapped by each robot in an optimized manner in order to reduce exploration time and, consequently, energy consumption. Each UAV is able to performSimultaneous Localization And Mapping (SLAM) with a visual sensor as the main input sensor. To explore the unknown regions, the targets – selected from the computed frontier points lying between free and unknown areas – are assigned to robots by considering a trade-off between fast exploration and getting detailed grid maps. For the sake of decision making, UAVs usually exchange a copy of their local map; however, the novelty in this work is to exchange map frontier points instead, which allow to save communication bandwidth. One of the most challenging points in MRS is the inter-robot communication. We study this part in both topological and typological aspects. We also propose some strategies to cope with communication drop-out or failure. Validations based on extensive simulations and testbeds are presented
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Eckart, Mischa. "Cooperative governance : a multi-perspective exploration on the strategic direction and control of cooperative groups /." [S.l.] : [s.n.], 2004. http://aleph.unisg.ch/hsgscan/hm00119662.pdf.

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Pham, Ngoc Hai. "A Comprehensive Architecture for the Cooperative Guidance and Control of Autonomous Ground and Air Vehicles." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1637.

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This thesis deals with the problem of cooperative explorations of a group of autonomous vehicles in unknown environments in the context of decentralized behaviour. The main contribution of this thesis is the development of a comprehensive decentralized cooperative exploration frame work in which each individual vehicle has the ability to explore an unknown environment by itself and also by cooperative behaviour in a team of several vehicles. To simulate the whole system, each individual vehicle will have the ability to explore an unknown environment by dynamically path-planning (with obstacle and collision avoidance), high-level con- trolling, updating the environment map, proposing potential destinations (frontiers), and solving online task assignment. In this thesis, the framework simulates an unknown environment as an occupancy grid map and uses a frontier-base exploration strategy, in which a cell will be marked as a frontier if it is adjacent at least one open cell, as the core architecture. In dealing with the uncertainties in process transition and observation models of autonomous vehicles, the well-known discrete extended Kalman filter (EKF) algorithm is investigated and implemented. When exploring the environment, a vehicle will update its surrounding information, then propose its potential destinations and evaluate the utility (benefit) to travel to each of those destinations. The benefit to go to each destination is derived from the subtraction of the utility (value) of that cell to the sum of the cost to travel to that cell and the steering cost. The key to cooperative exploration in the team of vehicles lies in each vehicle's ability to communicate the updates of the world to the whole team and to contribute to the global list of potential destinations. And each vehicle has the capability of solving the task assignment problem for the team by calling its own online-task-assignment solving engine. This algorithm results each vehicle in having a destination to visit, which benefits the whole team the most and reduces the total exploration time of the team.
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Pham, Ngoc Hai. "A Comprehensive Architecture for the Cooperative Guidance and Control of Autonomous Ground and Air Vehicles." University of Sydney, 2007. http://hdl.handle.net/2123/1637.

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Master of Engineering (Research)
This thesis deals with the problem of cooperative explorations of a group of autonomous vehicles in unknown environments in the context of decentralized behaviour. The main contribution of this thesis is the development of a comprehensive decentralized cooperative exploration frame work in which each individual vehicle has the ability to explore an unknown environment by itself and also by cooperative behaviour in a team of several vehicles. To simulate the whole system, each individual vehicle will have the ability to explore an unknown environment by dynamically path-planning (with obstacle and collision avoidance), high-level con- trolling, updating the environment map, proposing potential destinations (frontiers), and solving online task assignment. In this thesis, the framework simulates an unknown environment as an occupancy grid map and uses a frontier-base exploration strategy, in which a cell will be marked as a frontier if it is adjacent at least one open cell, as the core architecture. In dealing with the uncertainties in process transition and observation models of autonomous vehicles, the well-known discrete extended Kalman filter (EKF) algorithm is investigated and implemented. When exploring the environment, a vehicle will update its surrounding information, then propose its potential destinations and evaluate the utility (benefit) to travel to each of those destinations. The benefit to go to each destination is derived from the subtraction of the utility (value) of that cell to the sum of the cost to travel to that cell and the steering cost. The key to cooperative exploration in the team of vehicles lies in each vehicle's ability to communicate the updates of the world to the whole team and to contribute to the global list of potential destinations. And each vehicle has the capability of solving the task assignment problem for the team by calling its own online-task-assignment solving engine. This algorithm results each vehicle in having a destination to visit, which benefits the whole team the most and reduces the total exploration time of the team.
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Kottayam, Viswanathan Vignesh. "Cooperative Navigation in Space in-proximity of Small Bodies." Thesis, Luleå tekniska universitet, Rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84881.

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Autonomous proximity operations are the future of Deep space robotic exploration for searchof life, mining for resources and to establish outposts. Part of that future depends on howwell the spacecraft is capable to navigate around the complex environment of the smallcelestial body. The shift from huge monolithic spacecraft to a lightweight distributed Spacesystems has opened up a new opportunity for early characterization and global mappingmissions around these bodies. This project aims to contribute to help solve a part of thedream, wherein multiple spacecrafts operate cooperatively in proximity of small celestialbodies. To that extent, a 6 DoF controlled software-in-loop simulation is performed withsimulated optical sensors and IMU on board the spacecraft for verification of the controlledcooperative operation of two spacecrafts in a Leader-Follower configuration.
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Bruno, H. Raven. "Farm to school an exploration of purchasing local foods for school cafeterias in southeastern North Carolina /." View electronic thesis (PDF), 2009. http://dl.uncw.edu/etd/2009-1/brunoh/hbruno.pdf.

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Books on the topic "Cooperative exploration"

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Roche, Jennifer. Towards co-operation in channels of distribution: An exploration of co-operative advertising. Dublin: Universitry College Dublin, 1995.

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National Research Council (U.S.). Committee on Cooperative Mars Exploration and Sample Return. International cooperation for Mars exploration and sample return. Washington, D.C: National Academy Press, 1990.

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Cooperative explorations: Measuring. Oak Lawn, Ill: Ideal School Supply Co., 1994.

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Frontiers of space exploration. Westport, Conn: Greenwood Press, 1998.

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Parthasarathi, Banerjee, and Kakani Ram Kumar, eds. Strategic thinking: Explorations around conflict and cooperation. Thousand Oaks: Response Books, 2011.

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Launius, Roger D. Frontiers of space exploration. 2nd ed. Westport, Conn: Greenwood Press, 2004.

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Joint Working Group on Cooperation in Planetary Exploration. United States and Western Europe cooperation in planetary exploration: Report of the Joint Working Group on Cooperation in Planetary Exploration. Washington, D.C: National Academy Press, 1989.

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1945-, Thompson Wayne, and Guerrier Steven W, eds. Space--national programs and international cooperation. Boulder: Westview Press, 1989.

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Marshall, Harry R. U.S. space programs: Cooperation and competition from Europe. Washington, D.C: U.S. Dept. of State, Bureau of Public Affairs, Office of Public Communication, Editorial Division, 1985.

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Marshall, Harry R. U.S. space programs: Cooperation and competition from Europe. Washington, D.C: U.S. Dept. of State, Bureau of Public Affairs, Office of Public Communication, Editorial Division, 1985.

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Book chapters on the topic "Cooperative exploration"

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Bianchini, Devis, Valeria De Antonellis, and Massimiliano Garda. "Relevance-Based Big Data Exploration for Smart Road Maintenance." In Cooperative Information Systems, 19–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17834-4_2.

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Watson, James F., Donald R. Lefebvre, Alan A. Desrochers, Stephen H. Murphy, and Keith R. Fieldhouse. "Testbed for Cooperative Robotic Manipulators." In Intelligent Robotic Systems for Space Exploration, 1–38. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3634-5_1.

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Rekleitis, Ioannis M., Robert Sim, and Gregory Dudek. "Cooperative Exploration, Localization, and Visual Map Construction." In Advances in Intelligent and Soft Computing, 227–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16259-6_18.

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Platt, Donald. "A Cooperative Assistant for Deep Space Exploration." In Risk Management in Life-Critical Systems, 301–17. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118639351.ch14.

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Yu, Chao, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, and Yi Wu. "Learning Efficient Multi-agent Cooperative Visual Exploration." In Lecture Notes in Computer Science, 497–515. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19842-7_29.

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Bellerose, Julie, Anouck Girard, and Daniel J. Scheeres. "Dynamics and Control of Surface Exploration Robots on Asteroids." In Optimization and Cooperative Control Strategies, 135–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88063-9_8.

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Tran, Tung, and Ramakanth Kavuluru. "Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents." In Mining Intelligence and Knowledge Exploration, 22–34. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71928-3_3.

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Kuremoto, Takashi, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, and Masanao Obayashi. "A Model of Emotional Intelligent Agent for Cooperative Goal Exploration." In Intelligent Computing Theories, 21–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39479-9_3.

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Ma, Xin, Qin Zhang, Weidong Chen, and Yibin Li. "Immunity-Based Adaptive Genetic Algorithm for Multi-robot Cooperative Exploration." In Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 605–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74205-0_65.

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Mannucci, Anna, Simone Nardi, and Lucia Pallottino. "Autonomous 3D Exploration of Large Areas: A Cooperative Frontier-Based Approach." In Modelling and Simulation for Autonomous Systems, 18–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76072-8_2.

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Conference papers on the topic "Cooperative exploration"

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Zhang, Fumin, and Naomi Ehrich Leonard. "Cooperative Kalman filters for cooperative exploration." In 2008 American Control Conference (ACC '08). IEEE, 2008. http://dx.doi.org/10.1109/acc.2008.4586893.

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Philip, George, Howard M. Schwartz, and Sidney N. Givigi. "Cooperative Exploration Using Potential Games." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.407.

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Sadeh, Eligar. "Cooperative Policy Coordination in Space Exploration." In Sixth ASCE Specialty Conference and Exposition on Engineering, Construction, and Operations in Space. Reston, VA: American Society of Civil Engineers, 1998. http://dx.doi.org/10.1061/40339(206)89.

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Diaz, Maria Victoria, Sergio Robaudo, Mercedes Marzoa, and Facundo Benavides. "Cooperative indoor exploration on affordable robots." In 2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE). IEEE, 2022. http://dx.doi.org/10.1109/lars/sbr/wre56824.2022.9996045.

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Clark, J., S. A. Østensen, P. R. Slaatsveen, and B. Blikeng. "Cooperative exploration of the ´Sleipner Basin´ Norway." In 58th EAEG Meeting. Netherlands: EAGE Publications BV, 1996. http://dx.doi.org/10.3997/2214-4609.201408951.

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Franchi, Antonio, Luigi Freda, Giuseppe Oriolo, and Marilena Vendittelli. "A Decentralized Strategy for Cooperative Robot Exploration." In 1st International ICST Conference on Robot Communication and Coordination. ICST, 2007. http://dx.doi.org/10.4108/icst.robocomm2007.2202.

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Xin Ma, Qin Zhang, and Yibin Li. "Genetic Algorithm-based Multi-robot Cooperative Exploration." In 2007 IEEE International Conference on Control and Automation. IEEE, 2007. http://dx.doi.org/10.1109/icca.2007.4376510.

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Franchi, Antonio, Luigi Freda, Giuseppe Oriolo, and Marilena Vendittelli. "A Randomized Strategy for Cooperative Robot Exploration." In 2007 IEEE International Conference on Robotics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/robot.2007.363079.

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Wu, Wencen, and Fumin Zhang. "A Switching strategy for robust cooperative exploration." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5718104.

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Mahdoui, Nesrine, Vincent Fremont, and Enrico Natalizio. "Cooperative exploration strategy for micro-aerial vehicles fleet." In 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE, 2017. http://dx.doi.org/10.1109/mfi.2017.8170426.

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Reports on the topic "Cooperative exploration"

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Simpson, Mike. Electric Vehicle Grid Interaction Exploration: Cooperative Research and Development Final Report, CRADA Number CRD-11-431. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1260894.

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Olson, D. Exploration of Novel Materials for Development of Next Generation OPV Devices: Cooperative Research and Development Final Report, CRADA Number CRD-10-398. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1051924.

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van Hest, M. Exploration of Novel Reaction Pathway for Formation of Copper Indium Gallium Diselenide: Cooperative Research and Development Final Report, CRADA Number CRD-03-121. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1165238.

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Romero, Antonio. The Political Dialogue and Cooperation Agreement and relations between European Union and Cuba. Fundación Carolina, February 2022. http://dx.doi.org/10.33960/issn-e.1885-9119.dtff01en.

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This document makes an assessment of the Political Dialogue and Cooperation Agreement (PDCA) between Cuba and the European Union (EU) in its four years of validity, and of the evolution of political and economic relations between both parties. The analysis is structured in five headings that address the background, determinants and significance of the PDCA between Cuba and the EU; the main elements discussed in the political dialogue —and in thematic dialogue— between the two parties since 2018, and the central aspects of trade, investment and cooperation relations between Cuba and the EU. The report concludes that, unlike the United States, the EU is able to support the complex process of economic and institutional transformations underway in Cuba, in four fundamental areas: i) technical assistance and advice for the design and implementation of public policies, macroeconomic management, decentralisation and local development; ii) cooperation to fight climate change and transform Cuba’s productive and technological structure; iii) the promotion and encouragement of foreign investment flows from Europe, targeting key productive sectors; and iv) the exploration of financial opportunities for Cuba through the European Investment Bank (EIB) under the current PDCA.
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Richardson, D. G. Canada-Nova Scotia Cooperation Agreement on Mineral Development (1992-1995), Federal Exploration Stimulation Program: project summaries and cumulative bibliographies. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/207906.

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Wehr, Tobias, ed. EarthCARE Mission Requirements Document. European Space Agency, November 2006. http://dx.doi.org/10.5270/esa.earthcare-mrd.2006.

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ESA's EarthCARE (Cloud, Aerosol and Radiation Explorer) mission - scheduled to be launched in 2024 - is the largest and most complex Earth Explorer to date and will advance our understanding of the role that clouds and aerosols play in reflecting incident solar radiation back into space and trapping infrared radiation emitted from Earth's surface. The mission is being implemented in cooperation with JAXA (Japan Aerospace Exploration Agency). It carries four scientific instruments. The Atmospheric Lidar (ATLID), operating at 355 nm wavelength and equipped with a high-spectral resolution and depolarisation receiver, measures profiles of aerosols and thin clouds. The Cloud Profiling Radar (CPR, contribution of JAXA), operates at 94 GHz to measure clouds and precipitation, as well as vertical motion through its Doppler functionality. The Multi-Spectral Imager provides across-track information of clouds and aerosols. The Broad-Band Radiometer (BBR) measures the outgoing reflected solar and emitted thermal radiation in order to derive broad-band radiative fluxes at the top of atmosphere. The Mission Requirement Document defines the scientific mission objectives and observational requirements of EarthCARE. The document has been written by the ESA-JAXA Joint Mission Advisory Group for EarthCARE.
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Aldendifer, Elise, McKenzie Coe, Taylor Faught, Ian Klein, Peter Kuylen, Keeli Lane, Robert Loughran, et al. The Safe and Efficient Development of Offshore Transboundary Hydrocarbons: Best Practices from the North Sea and Their Application to the Gulf of Mexico. Edited by Gabriel Eckstein. Texas A&M University School of Law Program in Energy, Environmental, & Natural Resource Systems, September 2019. http://dx.doi.org/10.37419/eenrs.offshoretransboundaryhydrocarbons.

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Offshore hydrocarbon resources have been developed for many decades, and with technology improvements, many fields which were once impossible to develop, are now economically and technologically feasible. This has led to a growing difficulty in determining the legislative and regulatory framework for resources that straddle the recognized borders between two states. In this paper, we examine a successful framework agreement governing the transboundary resources between the United Kingdom (“U.K.”) and Norway in the North Sea, and the agreement between the United States and Mexico governing the Gulf of Mexico. Following the 2013 Energy Reform, the Mexican energy sector has been revitalized, leading to greater exploration, development, and production than ever before. This means that in the near future transboundary resources may be licensed for production, bringing the issues highlighted in this paper to the attention of multiple government and international entities. This paper seeks to recommend improvements to the transboundary framework in the Gulf of Mexico based on the successful framework agreement utilized in the North Sea. This paper begins by introducing international law for offshore resources in Part II. Part III discusses the offshore regulatory regimes in the U.K. and Norway, analyzing how the two states have successfully used bilateral agreements to facilitate cooperation regarding effective exploitation and apportionment of costs from cross-boundary offshore oil and gas projects in the North Sea. Part IV discusses the offshore regulatory regimes in the United States and Mexico and analyzes the current transboundary agreement in place for the Gulf of Mexico. Part V compares the transboundary agreement governing the North Sea and the same governing the Gulf of Mexico. We highlight the major differences in the agreements and suggest changes to the Gulf of Mexico agreement based on the successful North Sea agreement. Finally, this paper concludes and provides key policy recommendations to improve the rules and regulations surrounding the exploitation of transboundary hydrocarbons in the Gulf of Mexico.
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