Sachit Butail


Sachit Butail (cv)
Assistant Professor
Room B-102
Indraprastha Institute of Information Technology (IIIT-Delhi)
New Delhi, India 110020
phone: +91 11-26907424
fax: +91 11-26907405

Interests: collective behavior, pattern recognition, complex systems, robotics




Last updated on Nov 18, 2014



Journal articles

[1] T. Bartolini, S. Butail, and M. Porfiri. Temperature influences sociality and activity of freshwater fish. Environmental Biology of Fishes, August 2014. [ DOI ]
[2] S. Butail, P. Salerno, E. M. Bollt, and M. Porfiri. Classification of collective behavior: a comparison of tracking and machine learning methods to study the effect of ambient light on fish shoaling. Behavior Research Methods, 2014. [ DOI ]
[3] V. Mwaffo, R. P. Anderson, S. Butail, and M. Porfiri. A jump persistent turning walker to model zebrafish locomotion. Journal of the Royal Society Interface, 12(102):20140884, 2014. [ DOI ]
[4] K. D. Gajamannage, S. Butail, M. Porfiri, and E. M. Bollt. Dimensionality Reduction of Collective Motion by Principal Manifolds. Physica D: Nonlinear Phenomena, 291:62-73, 2014. [ DOI ]
[5] N. C. Manoukis, S. Butail, M. Diallo, J. M. C. Ribeiro, and D. A. Paley. Stereoscopic Video Analysis of Anopheles gambiae Behavior in the Field: Challenges and Opportunities. Acta Tropica, 132:S80-S85, 2014. [ DOI ]
[6] S. Butail, G. Polverino, P. Phamduy, F. Del Sette, and M. Porfiri. Influence of robotic shoal size, configuration, and activity on zebrafish behavior in a free-swimming environment. Behavioural Brain Research, 275:269-280, 2014. [ DOI ]
[7] A. Chicoli, S. Butail, Y. Lun, J. Bak-Coleman, S. Coombs, and D. A. Paley. The effects of flow on schooling Devario aequipinnatus: school structure, startle response and information transmission. Journal of Fish Biology, 84(5):1401-1421, 2014. [ DOI ]
[8] S. Butail, F. Ladu, D. Spinello, and M. Porfiri. Information flow in animal-robot interactions. Entropy (Special issue: Information in Dynamical Systems and Complex Systems), 16(3):1315-1330, 2014. [ DOI ]
[9] F. Ladu, S. Butail, S. Macrì, and M. Porfiri. Sociality modulates the effects of ethanol in zebrafish. Alcoholism, Clinical and Experimental Research, 38(7):2096-2104, 2014. [ DOI ]
[10] D. Shishika, N. C. Manoukis, S. Butail, and D. A. Paley. Male motion coordination in anopheline mating swarms. Scientific reports, 4(6318), 2014. [ DOI ]
[11] S. Butail, E. M. Bollt, and M. Porfiri. Analysis and classification of collective behavior using generative modeling and nonlinear manifold learning. Journal of Theoretical Biology, 336(7):185-199, 2013. [ DOI ]
[12] S. Butail, N. C. Manoukis, M. Diallo, J. M. C. Ribeiro, and D. A. Paley. The Dance of Male Anopheles gambiae in Wild Mating Swarms. Journal of Medical Entomology, 50(3):552-559, 2013. [ DOI ]
[13] S. Butail, T. Bartolini, and M. Porfiri. Collective response of zebrafish shoals to a free-swimming robotic fish. PLoS One, 8(10):e76123, 2013. [ DOI ]
[14] S. Butail, N. C. Manoukis, M. Diallo, J. M. C. Ribeiro, T. Lehmann, and D. A. Paley. Reconstructing the flight kinematics of swarming and mating in wild mosquitoes. Journal of the Royal Society Interface, 9(75):2624-2638, 2012. [ DOI ]
[15] S. Butail and D. A. Paley. Three-dimensional reconstruction of the fast-start swimming kinematics of densely schooling fish. Journal of the Royal Society Interface, 9(66):77-88, 2011. [ DOI ]

Refereed conference proceedings

[1] S. Butail, T. Bartolini, and M. Porfiri. Collective response of zebrafish to a mobile robotic fish. In Proceedings of the ASME Dynamic Systems and Control Conference. Invited session on "Biologically-inspired control and its applications", Palo Alto, CA, October 2013. [ DOI ]
[2] S. Butail, A. Chicoli, and D. A. Paley. Putting the fish in the fish tank: Immersive VR for animal behavior experiments. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 5018-5023, Minneapolis, MN, USA, 2012. [ DOI ]
[3] S. Butail, N. C. Manoukis, M. Diallo, A. S. Yaro, A. Dao, S. F. Traoré, J. M. C. Ribeiro, T. Lehmann, and D. A. Paley. 3D tracking of mating events in wild swarms of the malaria mosquito Anopheles gambiae. In Proceedings of the IEEE Conference of Engineering in Medicine and Biology Society (EMBC), pages 720-723, Boston, USA, January 2011. [ DOI ]
[4] S. Butail and D. A. Paley. 3D reconstruction of fish schooling kinematics from underwater video. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 2438-2443, Anchorage, AK, USA, May 2010. [ DOI ]
[5] N. Sydney, S. Napora, S. Beal, P. Mohl, P. Nolan, S. Sherman, A. Leishman, S. Butail, and D. A. Paley. A Micro-UUV Testbed for Bio-Inspired Motion Coordination. In International Symposium Unmanned Untethered Submersible Technology, Durham, NH, USA, 2009.
[6] S. Butail and D. A. Paley. Vision-based estimation of three-dimensional position and pose of multiple underwater vehicles. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2477-2482, St. Louis, MO, USA, 2009. [ DOI ]
[7] S. Butail and M. Peck. Non-Contacting Interfaces: A Case Study in Modular Spacecraft Design. In Proceedings of the Conference on Systems Engineering Research, volume 2, pages 27-34, New Jersey, NJ, USA, 2007. [ DOI ]


Motion Reconstruction of Animal Groups: From Schooling Fish to Swarming Mosquitoes (~14 MB)


Perceiving human crowds

With increased urbanization, human pedestrian crowds are a phenomena frequently witnessed in cities all over the world. In this context, the usefulness of robots in human societies will critically depend on their ability to actively navigate dense crowded situations. A first step in this direction is to automatically interpret crowd motion. This project seeks to develop and validate an algorithmic framework for the perception of dynamic environments. The research objective is to use methods in Bayesian estimation and statistical pattern recognition to robustly and reliably classify crowd motion from a level perspective.

Causal relationships underlying the collective dynamic behavior of swarms

Living in groups affords several benefits for animals such as better feeding opportunities and reduced predation risks. In both instances-foraging and predator avoidance-critical information is transmitted nonverbally throughout the group, at different time scales. This project, carried out in collaboration with Dynamical Systems Laboratory, New York University, seeks to demonstrate that an information-theoretic approach can be used to measure social animal behavior. The research objective is to establish a rigorous model-free framework to study causal relationships in animal interactions validated by a series of hypothesis-driven experiments on zebra fish to emphasize unidirectional information transfer.


Graduate students

  1. Sathish V


  1. Abhishek Bhatia


Modeling complex systems (MTH5MCS), Monsoon 2014
Math III (MTH203), Monsoon 2014 (co-teaching with two other faculty)
Stochastic estimation and control - 2cu (ECE672s), Winter 2015