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7 Publications
H
[1]
B. Haghighat et al., “An Approach Based on Particle Swarm Optimization for Inspection of Spacecraft Hulls by a Swarm of Miniaturized Robots”, in Intl. Conf. on Swarm Intelligence (ANTS), 2022.
[1]
S. Hauert, S. Berman, R. Nagpal, and S. N. Bhatia, “A computational framework for identifying design guidelines to increase the penetration of targeted nanoparticles into tumors”, Nano Today, 2013, [Online]. Available: Referenced from ssr.seas.harvard.edu: A computational framework for identifying design guidelines to increase the penetration of targeted nanoparticles into tumors
[1]
N. Hoff, R. Wood, and R. Nagpal, “Effect of Sensor and Actuator Quality on Robot Swarm Algorithm Performance”, in Intl. Conference on Robots and Systems (IROS), 2011. [Online]. Available: Referenced from ssr.seas.harvard.edu: Effect of Sensor and Actuator Quality on Robot Swarm Algorithm Performance
[1]
N. Hoff, “Multi-Robot Foraging for Swarms of Simple Robots”, 2011. [Online]. Available: Referenced from ssr.seas.harvard.edu: Multi-Robot Foraging for Swarms of Simple Robots
[1]
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
[1]
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
[1]
L. Houel, “Self-assembly of soft-robots in simulation inspired by army ant bridge behavior”, Master’s Thesis, EPFL Switzerland, 2019.