Segui
Spring Berman
Spring Berman
Associate Professor of Mechanical and Aerospace Engineering, Arizona State University
Email verificata su asu.edu - Home page
Titolo
Citata da
Citata da
Anno
Optimized stochastic policies for task allocation in swarms of robots
S Berman, A Halász, MA Hsieh, V Kumar
IEEE transactions on robotics 25 (4), 927-937, 2009
2602009
Biologically inspired redistribution of a swarm of robots among multiple sites
MA Hsieh, Á Halász, S Berman, V Kumar
Swarm Intelligence 2 (2), 121-141, 2008
1212008
Experimental Study and Modeling of Group Retrieval in Ants as an Approach to Collective Transport in Swarm Robotic Systems
S Berman, Q Lindsey, MS Sakar, V Kumar, SC Pratt
Proceedings of the IEEE, 1-12, 2011
972011
Design of control policies for spatially inhomogeneous robot swarms with application to commercial pollination
S Berman, V Kumar, R Nagpal
2011 IEEE International Conference on Robotics and Automation, 378-385, 2011
882011
Stochastic strategies for a swarm robotic assembly system
L Matthey, S Berman, V Kumar
2009 IEEE International Conference on Robotics and Automation, 1953-1958, 2009
802009
Pheeno, a versatile swarm robotic research and education platform
S Wilson, R Gameros, M Sheely, M Lin, K Dover, R Gevorkyan, ...
IEEE Robotics and Automation Letters 1 (2), 884-891, 2016
772016
Bio-inspired group behaviors for the deployment of a swarm of robots to multiple destinations
S Berman, A Halász, V Kumar, S Pratt
Proceedings 2007 IEEE international conference on robotics and automation …, 2007
752007
Dynamic redistribution of a swarm of robots among multiple sites
A Halász, MA Hsieh, S Berman, V Kumar
2007 IEEE/RSJ international conference on intelligent robots and systems …, 2007
662007
Design of ant-inspired stochastic control policies for collective transport by robotic swarms
S Wilson, TP Pavlic, GP Kumar, A Buffin, SC Pratt, S Berman
Swarm Intelligence 8 (4), 303-327, 2014
612014
Mean-field models in swarm robotics: A survey
K Elamvazhuthi, S Berman
Bioinspiration & Biomimetics 15 (1), 015001, 2019
552019
A computational framework for identifying design guidelines to increase the penetration of targeted nanoparticles into tumors
S Hauert, S Berman, R Nagpal, SN Bhatia
Nano today 8 (6), 566-576, 2013
512013
Optimal control of stochastic coverage strategies for robotic swarms
K Elamvazhuthi, S Berman
2015 IEEE International Conference on Robotics and Automation (ICRA), 1822-1829, 2015
382015
Algorithms for the analysis and synthesis of a bio-inspired swarm robotic system
S Berman, Á Halász, V Kumar, S Pratt
International Workshop on Swarm Robotics, 56-70, 2006
382006
PDE-based optimization for stochastic mapping and coverage strategies using robotic ensembles
K Elamvazhuthi, H Kuiper, S Berman
Automatica 95, 356-367, 2018
332018
Study of group food retrieval by ants as a model for multi-robot collective transport strategies
S Berman, Q Lindseyy, MS Sakary, V Kumary, S Prattz
Robotics Science and Systems, 2010
312010
Decentralized stochastic control of robotic swarm density: Theory, simulation, and experiment
H Li, C Feng, H Ehrhard, Y Shen, B Cobos, F Zhang, K Elamvazhuthi, ...
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
292017
Coverage and field estimation on bounded domains by diffusive swarms
K Elamvazhuthi, C Adams, S Berman
2016 IEEE 55th Conference on Decision and Control (CDC), 2867-2874, 2016
282016
A comparison of deterministic and stochastic approaches for allocating spatially dependent tasks in micro-aerial vehicle collectives
K Dantu, S Berman, B Kate, R Nagpal
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
282012
MARCO: a reachability algorithm for multi-affine systems with applications to biological systems
S Berman, Á Halász, V Kumar
International Workshop on Hybrid Systems: Computation and Control, 76-89, 2007
282007
Highly stretchable self-sensing actuator based on conductive photothermally-responsive hydrogel
CY Lo, Y Zhao, C Kim, Y Alsaid, R Khodambashi, M Peet, R Fisher, ...
Materials Today 50, 35-43, 2021
262021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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