All Publications

Applied Filters: First Letter Of Last Name: Y Reset
13 Publications

Y

[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
[1]
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
[1]
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
[1]
C.- han Yu and R. Nagpal, “A Self-Adaptive Framework for Modular Robots in Dynamic Environment: Theory and Applications”, Intl Journal of Robotics Research, 2010.
[1]
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
[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]
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