Results 51 to 60 of about 33,931 (261)

Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10,000 Robot Swarm [PDF]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
When designing swarm-robotic systems, system- atic comparison of algorithms from different do- mains is necessary to determine which is capa- ble of scaling up to handle the target problem size and target operating conditions. We propose a set of quantitative metrics for scalability, flexibility, and emergence which are capable of addressing these ...
Harwell, John, Gini, Maria
openaire   +2 more sources

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Robotic Wireless Sensor Networks

, 2018
In this chapter, we present a literature survey of an emerging, cutting-edge, and multi-disciplinary field of research at the intersection of Robotics and Wireless Sensor Networks (WSN) which we refer to as Robotic Wireless Sensor Networks (RWSN).
A Balasubramanian, A Chattopadhyay, A Fida, A Gasparri, A Gasparri, A Ghaffarkhah, A Gonzalez-Ruiz, A Gonzalez-Ruiz, A Sanfeliu, A Tiderko, AM Hsieh, AM Ladd, B Mohar, C Dixon, C Lochert, CE Perkins, CR Lin, D Calkins, D Son, D Tardioli, DV Dimarogonas, DV Dimarogonas, E Aahin, E Prassler, EA Thompson, EW Dijkstra, F Knorn, FT Dagefu, G Holland, G Sun, G Tuna, H Choset, HG Nguyen, Hui Liu, I Guvenc, J Baber, J Cortes, J Fink, J Ny Le, J Penders, J Zhou, JB Petelin, JC Curlander, JG Dai, JK Erickson, JR Pinta De La, K Fall, K Kamei, K Konolige, K Savla, KA Qaraqe, L Oliveira, L Sabattini, L Tassiulas, LE Parker, M Fiedler, M Franceschelli, M Guo, M Malmirchegini, M Mauve, M Mauve, M Michael, M Michael, M Michael, M Michael, M Naghshvar, M Saumitra, M Schuresko, MA Batalin, MA Hsieh, MD Weiss, N Bezzo, N Boillot, N Hazon, N Xiong, NP Papanikolopoulos, O Tekdas, P Brass, P Wilke, P Yang, P Yang, P. Ibach, Pradipta Ghosh, Pradipta Ghosh, PX Liu, Q Dong, R Olfati-Saber, RC Arkin, RR Murphy, RR Murphy, S Depatla, S Gil, S Manfredi, S Thrun, S Wang, SJ Lee, SR Theodore, T Gustavi, V Milanés, Y Mostofi, Y Mostofi, Y Mostofi, Y Mostofi, Y Uchimura, Y Yan, Y Yan, Z Lin   +106 more
core   +1 more source

Fast moving of a population of robots through a complex scenario [PDF]

, 2019
Swarm robotics consists in using a large number of coordinated autonomous robots, or agents, to accomplish one or more tasks, using local and/or global rules. Individual and collective objectives can be designed for each robot of the swarm.
F Ginelli, H Zhao, R Martinez, S Mayya, T Vicsek, TG Lewis   +5 more
core   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Recent Advances in Swarm Robotics Coordination: Communication and Memory Challenges

Applied Sciences, 2022
Swarm robotics research has been present for some decades, providing nature-inspired algorithms in swarms of robots [...]
Álvaro Gutiérrez
doaj   +1 more source

Swarm potential fields with internal agent states and collective behaviour [PDF]

, 2007
Swarm robotics is a new and promising approach to the design and control of multi-agent robotic systems. In this paper we use a model for a system of self-propelled agents interacting via pairwise attractive and repulsive potentials.
Abdel Wahid, Mohamed Hussien Mabrouk, McInnes, Colin   +1 more
core  

A Decentralized Mobile Computing Network for Multi-Robot Systems Operations

, 2018
Collective animal behaviors are paradigmatic examples of fully decentralized operations involving complex collective computations such as collective turns in flocks of birds or collective harvesting by ants.
Bouffanais, Roland, Kit, Jabez Leong, Mateo, David   +2 more
core   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Evolution of Swarm Robotics Systems with Novelty Search

, 2013
Novelty search is a recent artificial evolution technique that challenges traditional evolutionary approaches. In novelty search, solutions are rewarded based on their novelty, rather than their quality with respect to a predefined objective. The lack of
Christensen, Anders Lyhne, Gomes, Jorge, Urbano, Paulo   +2 more
core   +1 more source