All Publications

131 Publications

Conference Paper

[1]
R. Weiss, G. Homsy, and R. Nagpal, “Programming Biological Cells”, in International Conference on Architectural Support for Programming Languages and Operating Systems, Wild & Crazy Ideas Session, 1998.
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R. Nagpal, “Programmable Self-Assembly Using Biologically-Inspired Multiagent Control”, in Proceedings of the 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2002.
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R. Nagpal, “Programmable Pattern-Formation and Scale-Independence”, in Proceedings of the 4th International Conference on Complex Systems (ICCS), 2002. [Online]. Available: Referenced from ssr.seas.harvard.edu: Programmable Pattern-Formation and Scale-Independence
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L. Clement and R. Nagpal, “Self-Assembly and Self-Repairing Topologies”, in Workshop on Adaptability in Multi-Agent Systems, RoboCup Australian Open, 2003. [Online]. Available: Referenced from ssr.seas.harvard.edu: Self-Assembly and Self-Repairing Topologies
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R. Nagpal, A. Kondacs, and C. Chang, “Programming Methodology for Biologically-Inspired Self-Assembling Systems”, in AAAI Spring Symposium on Computational Synthesis: From Basic Building Blocks to High Level Functionality, 2003. [Online]. Available: Referenced from ssr.seas.harvard.edu: Programming Methodology for Biologically-Inspired Self-Assembling Systems
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R. Nagpal, “Towards a Catalog of Biologically-inspired Primitives”, in Workshop on Engineering Self-organising Applications, Autonomous Agents and Multiagents Systems Conference (AAMAS), 2003. [Online]. Available: Referenced from ssr.seas.harvard.edu: Towards a Catalog of Biologically-inspired Primitives
[1]
K. Stoy and R. Nagpal, “Self-repair and Scale-independent Self-reconfiguration (for a modular robot)”, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2004. [Online]. Available: Referenced from ssr.seas.harvard.edu: Self-repair and Scale-independent Self-reconfiguration (for a modular robot)
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J. Werfel, Y. Bar-Yam, and R. Nagpal, “Building Patterned Structures with Robot Swarms”, in Intl. Joint Conference on Artificial Intelligence (IJCAI ’05), 2005. [Online]. Available: Referenced from ssr.seas.harvard.edu: Building Patterned Structures with Robot Swarms
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G. Werner-Allen, G. Tewari, A. Patel, M. Welsh, and R. Nagpal, “Firefly-Inspired Sensor Network Synchronicity with Realistic Radio Effects”, in ACM Conference on Embedded Networked Sensor Systems (SenSys ’05), 2005.
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J. Cheng, W. Cheng, and R. Nagpal, “Robust and Self-repairing Formation Control for Swarms of Mobile Agents”, in National Conference on Artificial Intelligence (AAAI ’05), 2005. [Online]. Available: Referenced from ssr.seas.harvard.edu: Robust and Self-repairing Formation Control for Swarms of Mobile Agents
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J. Werfel and R. Nagpal, “Three-dimensional Directed Construction by Mobile Robots”, in Workshop on Self-Reconfigurable Modular Robots, Robotics: Science and Systems (RSS), 2006. [Online]. Available: Referenced from ssr.seas.harvard.edu: Three-dimensional Directed Construction by Mobile Robots
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J. Werfel, Y. Bar-Yam, D. Rus, and and R. Nagpal, “Distributed Construction by Mobile Robots with Enhanced Building Blocks”, in IEEE International Conference on Robotics and Automation (ICRA), 2006. [Online]. Available: Referenced from ssr.seas.harvard.edu: Distributed Construction by Mobile Robots with Enhanced Building Blocks
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C. Schuil, M. Valente, J. Werfel, and R. Nagpal, “Collective Construction Using Lego Robots”, in Robot Exhibition, National Conference on Artificial Intelligence, 2006. [Online]. Available: Referenced from ssr.seas.harvard.edu: Collective Construction Using Lego Robots
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M. Mamei and R. Nagpal, “Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection”, in IEEE International Conference on Pervasive Computing and Communication (Percom), 2007. [Online]. Available: Referenced from ssr.seas.harvard.edu: Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
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J. Werfel, D. Ingber, and R. Nagpal, “Collective Construction of Environmentally-adaptive Structures”, in IEEE Conference on Intelligent Robots and Systems (IROS), 2007. [Online]. Available: Referenced from ssr.seas.harvard.edu: Collective Construction of Environmentally-adaptive Structures
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A. Patel, J. Degesys, and R. Nagpal, “Desynchronization: The Theory of Self-Organizing Algorithms for Round-Robin Scheduling”, in IEEE Conference on Self-Adaptive and Self-Organizing Systems (SASO), 2007. [Online]. Available: Referenced from ssr.seas.harvard.edu: Desynchronization: The Theory of Self-Organizing Algorithms for Round-Robin Scheduling
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R. Nagpal and D. Yamins, “Global-to-Local Programming: Design and Analysis for Amorphous Computers”, in IEEE Conference on Self-Adaptive and Self-Organizing Systems (SASO), 2007. [Online]. Available: Referenced from ssr.seas.harvard.edu: Global-to-Local Programming: Design and Analysis for Amorphous Computers
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J. Werfel and R. Nagpal, “Towards a Common Comparison Framework for Global-to-Local Programming of Self-assembling Robotic Systems”, in Workshop on Self-reconfigurable Robot Systems and Applications, IEEE Conference on Intelligent Robots and Systems (IROS), 2007. [Online]. Available: Referenced from ftp.deas.harvard.edu: Towards a Common Comparison Framework for Global-to-Local Programming of Self-assembling Robotic Systems
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J. Degesys, I. Rose, A. Patel, and R. Nagpal, “DESYNC: Self-Organizing Desynchronization and TDMA on Wireless Sensor Networks”, in International Conference on Information Processing in Sensor Networks (IPSN), 2007. [Online]. Available: Referenced from ssr.seas.harvard.edu: DESYNC: Self-Organizing Desynchronization and TDMA on Wireless Sensor Networks
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J. Degesys and R. Nagpal, “Towards Desynchronization of Multi-hop Topologies”, in IEEE Intl. Conf. on Self-Organising Systems (SASO), 2008. [Online]. Available: Referenced from ssr.seas.harvard.edu: Towards Desynchronization of Multi-hop Topologies
[1]
C.- han Yu, K. Haller, D. Ingber, and R. Nagpal, “Morpho: A Self-Deformable Modular Robot Inspired By Cellular Structure”, in IEEE Intl. Conference on Intelligent Robots and Systems (IROS), 2008. [Online]. Available: Referenced from ssr.seas.harvard.edu: Morpho: A Self-Deformable Modular Robot Inspired By Cellular Structure
[1]
D. Yamins and R. Nagpal, “Automated Global-to-Local Programming in 1-D Spatial Multi-Agent Systems”, in Intl. Conf on Autonomous Agents and Multi-Agent Systems (AAMAS), 2008. [Online]. Available: Referenced from ssr.seas.harvard.edu: Automated Global-to-Local Programming in 1-D Spatial Multi-Agent Systems
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C.- han Yu and R. Nagpal, “Self-Adapting Modular Robotics: A Generalized Distributed Consensus Framework”, in IEEE International Conference on Robotics and Automation (ICRA), 2009. [Online]. Available: Referenced from ssr.seas.harvard.edu: Self-Adapting Modular Robotics: A Generalized Distributed Consensus Framework
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C.- han Yu, J. Werfel, and R. Nagpal, “Coordinating Collective Locomotion in an Amorphous Modular Robot”, in IEEE International Conference on Robotics and Automation (ICRA), 2010. [Online]. Available: Referenced from ssr.seas.harvard.edu: Coordinating Collective Locomotion in an Amorphous Modular Robot
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C.- han Yu, J. Werfel, and R. Nagpal, “Collective Decision-Making in Multi-Agent Systems by Implicit Leadership”, in Intl. Conf on Autonomous Agents and Multi-Agent Systems (AAMAS), 2010. [Online]. Available: Referenced from ssr.seas.harvard.edu: Collective Decision-Making in Multi-Agent Systems by Implicit Leadership
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N. Hoff, A. Sagoff, R. J. Wood, and R. Nagpal, “Two Foraging Algorithms for Robot Swarms Using Only Local Communication”, in IEEE International Conference on Robotics and Biomimetics (ROBIO), 2010. [Online]. Available: Referenced from ssr.seas.harvard.edu: Two Foraging Algorithms for Robot Swarms Using Only Local Communication
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R. Belisle, C.- han Yu, and R. Nagpal, “Mechanical Design and Locomotion of Modular-Expanding Robots”, in Modular Robotics Workshop, IEEE Intl. Conf. on Robotics and Automation (ICRA), 2010. [Online]. Available: Referenced from ssr.seas.harvard.edu: Mechanical Design and Locomotion of Modular-Expanding Robots
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M. Rubenstein and R. Nagpal, “KiloBot: A Robotic Modules for Demonstrating Collective Behaviors”, in Modular Robotics Workshop, IEEE Intl. Conf. on Robotics and Automation (ICRA), 2010. [Online]. Available: Referenced from ssr.seas.harvard.edu: KiloBot: A Robotic Modules for Demonstrating Collective Behaviors
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N. Hoff, R. Wood, and R. Nagpal, “Distributed Colony-Level Algorithm Switching for Robot Swarm Foraging”, in Intl Symposium on Distributed Autonomous Robotic Systems (DARS), 2010. [Online]. Available: Referenced from ssr.seas.harvard.edu: Distributed Colony-Level Algorithm Switching for Robot Swarm Foraging
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C.- han Yu and R. Nagpal, “Biologically-Inspired Control for Multi-Agent Self-Adaptive Tasks”, in Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2010. [Online]. Available: Referenced from ssr.seas.harvard.edu: Biologically-Inspired Control for Multi-Agent Self-Adaptive Tasks
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P. Bailis, R. Nagpal, and J. Werfel, “Positional Communication and Private Information in Honeybee Foraging Models”, in Intl. Conference on Swarms Intelligence (ANTs), 2010.
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J. Werfel, K. Petersen, and R. Nagpal, “Distributed Multi-Robot Algorithms for the TERMES 3D Collective Construction System”, in Modular Robotics Workshop, Intl. Conference on Robots and Systems (IROS), 2011. [Online]. Available: Referenced from ssr.seas.harvard.edu: Distributed Multi-Robot Algorithms for the TERMES 3D Collective Construction System
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K. Dantu, B. Kate, J. Waterman, P. Bailis, and M. Welsh, “Programming Micro-Aerial Swarms with Karma”, in Intl. Conf. on Embedded Networked Sensor Systems (Sensys), 2011. [Online]. Available: Referenced from ssr.seas.harvard.edu: Programming Micro-Aerial Swarms with Karma
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K. Petersen, R. Nagpal, and J. Werfel, “TERMES: An Autonomous Robotic System for Three-Dimensional Collective Construction”, in Robotics: Science and Systems Conference (RSS), 2011.
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B. Kate, J. Waterman, K. Dantu, and M. Welsh, “Simbeeotic: A Simulator and Testbed for Micro-Aerial Vehicle Swarm Experiments”, in Intl. Conf. on Information Processing in Sensor Networks (IPSN), 2012. [Online]. Available: Referenced from ssr.seas.harvard.edu: Simbeeotic: A Simulator and Testbed for Micro-Aerial Vehicle Swarm Experiments
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N. Napp, O. Rappoli, J. Wu, and R. Nagpal, “Materials and Mechanisms for Amorphous Robotic Construction”, in IEEE Intl. Conference on Robots and Systems (IROS), 2012. [Online]. Available: Referenced from ssr.seas.harvard.edu: Materials and Mechanisms for Amorphous Robotic Construction
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Y.-L. Park, B.-R. Chen, C. Majidi, R. Wood, R. Nagpal, and E. Goldfield, “Active Modular Elastomer Sleeve for Soft Wearable Assistance Robots”, in IEEE Intl. Conference on Robots and Systems (IROS), 2012. [Online]. Available: Referenced from ssr.seas.harvard.edu: Active Modular Elastomer Sleeve for Soft Wearable Assistance Robots
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N. Napp and R. Nagpal, “Distributed Amorphous Ramp Construction in Unstructured Environments”, in Symposium on Distributed Autonomous Robotic Systems (DARS), 2012. [Online]. Available: Referenced from ssr.seas.harvard.edu: Distributed Amorphous Ramp Construction in Unstructured Environments
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M. Rubenstein, C. Ahler, and R. Nagpal, “Kilobot: A Low Cost Scalable Robot System for Collective Behaviors”, in IEEE Intl. Conf on Robotics and Automation (ICRA), 2012. [Online]. Available: Referenced from ssr.seas.harvard.edu: Kilobot: A Low Cost Scalable Robot System for Collective Behaviors
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N. Napp and R. Adams, “Message Passing Inference with Chemical Reaction Networks”, in Advances in Neural Information Processing Systems (NIPS), 2013. [Online]. Available: Referenced from ssr.seas.harvard.edu: Message Passing Inference with Chemical Reaction Networks
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A. Becker, G. Habibi, J. Werfel, M. Rubenstein, and J. McLurkin, “Massive Uniform Manipulation: Controlling Large Populations of Simple Robots With a Common Input Signal”, in IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2013. [Online]. Available: Referenced from ssr.seas.harvard.edu: Massive Uniform Manipulation: Controlling Large Populations of Simple Robots With a Common Input Signal