All Publications

Applied Filters: First Letter Of Last Name: M Reset
8 Publications

M

[1]
M. Malley, B. Haghighat, L. Houel, and R. Nagpal, “Eciton robotica: Design and Algorithms for an Adaptive Self-Assembling Soft Robot Collective”, Intl. Conferenc on Robotics and Automation (ICRA). 2020.
[1]
M. Malley, “Army Ant Inspired Adaptive Self-Assembly with Soft Climbing Robots”, PhD Thesis, Harvard University, 2020.
[1]
M. Malley, M. Rubenstein, and R. Nagpal, “Flippy: A Soft, Autonomous Climber with Simple Sensing and Control”, in IEEE/RSJ Intl Conference on Intelligent Robots and Systems (IROS), 2017.
[1]
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
[1]
H. McCreery, G. Gemayal, A. Pais, S. Garnier, and R. Nagpal, “Hysteresis stabilizes dynamic control of self-assembled army ant constructions”, Nature Communications, vol. 13, no. 1660, 2022, [Online]. Available: Open Access: Hysteresis stabilizes dynamic control of self-assembled army ant constructions
[1]
H. McCreery, J. Bilek, R. Nagpal, and M. Breed, “Effects of load mass and size on cooperative transport in ants over multiple transport challenges”, Journal of Experimental Biology, vol. doi: 10.1242/jeb.206821, 2019, [Online]. Available: Open Access: Effects of load mass and size on cooperative transport in ants over multiple transport challenges
[1]
H. F. McCreery, Z. A. Dix, M. D. Breed, and R. Nagpal, “Collective strategy for obstacle navigation during cooperative transport by ants”, Journal of Experimental Biology, vol. 219, no. 21, pp. 3366–3375, 2016, [Online]. Available: Open Access: Collective strategy for obstacle navigation during cooperative transport by ants
[1]
R. Moore, K. Dantu, G. Barrows, and R. Nagpal, “Autonomous MAV guidance with a lightweight omnidirectional vision sensor”, in IEEE Intl. Conf on Robotics and Automation (ICRA), 2014.