Sachit Butail


me

Sachit Butail (cv)
email: sbutail at niu dot edu
Assistant Professor
Room EB-148
Department of Mechanical Engineering
Northern Illinois University
phone: +1 (815)753-9987

Northern Illinois University

Bio: Sachit Butail received his Ph.D. in 2012 in Aerospace Engineering from University of Maryland, College park where his dissertation was on the motion reconstruction of animal groups using methods from estimation theory and computer vision. From 2012 to 2014, he was a postdoctoral fellow at the Dynamical Systems Laboratory at New York University where he worked on problems in collective behaviour and animal-robot interactions using methods from machine learning, time-series analysis, and information theory. His research interests are in the areas of dynamical systems, bioinspired autonomy, collective behaviour, and robotics. He directs the Emergent and Autonomous Systems Lab at the Department of Mechanical Engineering in Northern Illinois University, DeKalb IL.


Research



 

Last updated on Aug 22, 2016

 

Publications



Journal articles

[1] T. Bartolini, V. Mwaffo, A. Showler, S. Macrì, S. Butail, and M. Porfiri. Zebrafish response to 3D printed shoals of conspecifics: the effect of body size. 11(2):026003, 2016. [ DOI ]
[2] S. Butail, V. Mwaffo, and M. Porfiri. Model-free information-theoretic approach to infer leadership in pairs of zebrafish. 93(4):042411, 2016. [ DOI ]
[3] N. Abaid, S. Butail, M. Porfiri, and D. Spinello. Dynamics of animal systems. 224:3109-3117, 2015. [ DOI ]
[4] T. Bartolini, S. Butail, and M. Porfiri. Temperature influences sociality and activity of freshwater fish. 98(3):825-832, 2015. [ DOI ]
[5] T. Bartolini, V. Mwaffo, S. Butail, and M. Porfiri. Effect of acute ethanol administration on zebrafish tail beat motion. 49:721-725, 2015. [ DOI ]
[6] K. Gajamannage, S. Butail, M. Porfiri, and E. M. Bollt. Identifying manifolds underlying group motion in vicsek agents. 224:3245-3256, 2015. [ DOI ]
[7] K. D. Gajamannage, S. Butail, M. Porfiri, and E. M. Bollt. Dimensionality Reduction of Collective Motion by Principal Manifolds. 291:62-73, 2015. [ DOI ]
[8] F. Ladu, T. Bartolini, S. Panitz, F. Chiarotti, S. Butail, S. Macrì, and M. Porfiri. Live predators, robots, and computer-animated images elicit differential avoidance responses in zebrafish. 12(3):205-214, 2015. [ DOI ]
[9] V. Mwaffo, R. P. Anderson, S. Butail, and M. Porfiri. A jump persistent turning walker to model zebrafish locomotion. 12(102):20140884, 2015. [ DOI ]
[10] V. Mwaffo, S. Butail, M. diBernardo, and M. Porfiri. Measuring zebrafish turning rate. 12(3):250-254, 2015. [ DOI ]
[11] S. Butail, F. Ladu, D. Spinello, and M. Porfiri. Information flow in animal-robot interactions. 16(3):1315-1330, 2014. [ DOI ]
[12] 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. 275:269-280, 2014. [ DOI ]
[13] 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. 2014. [ DOI ]
[14] 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. 84(5):1401-1421, 2014. [ DOI ]
[15] F. Ladu, S. Butail, S. Macrì, and M. Porfiri. Sociality modulates the effects of ethanol in zebrafish. 38(7):2096-2104, 2014. [ DOI ]
[16] 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. 132:S80-S85, 2014. [ DOI ]
[17] D. Shishika, N. C. Manoukis, S. Butail, and D. A. Paley. Male motion coordination in anopheline mating swarms. 4(6318), 2014. [ DOI ]
[18] S. Butail, T. Bartolini, and M. Porfiri. Collective response of zebrafish shoals to a free-swimming robotic fish. 8(10):e76123, 2013. [ DOI ]
[19] S. Butail, E. M. Bollt, and M. Porfiri. Analysis and classification of collective behavior using generative modeling and nonlinear manifold learning. 336(7):185-199, 2013. [ DOI ]
[20] 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. 50(3):552-559, 2013. [ DOI ]
[21] 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. 9(75):2624-2638, 2012. [ DOI ]
[22] S. Butail and D. A. Paley. Three-dimensional reconstruction of the fast-start swimming kinematics of densely schooling fish. 9(66):77-88, 2011. [ DOI ]

Refereed conference proceedings

[1] V. Sathish, S. Ramaswamy, and S. Butail. Training data selection criteria for detecting failures in industrial robots. In IFAC International Conference on Advances in Control and Optimization Of Dynamical Systems, Tiruchirappalli, India, 2016.
[2] S. Butail. Simulating the effect of a social robot on moving pedestrian crowds. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2413-2418, Hamburg, Germany, 2015. [ DOI ]
[3] V. Sathish, S. Ramaswamy, and S. Butail. A simulation based approach to detect wear in industrial robots. In Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), pages 1570-1575, Gothenberg, Sweden, 2015. [ DOI ]
[4] 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", page V001T07A001, Palo Alto, CA, 2013. [ DOI ]
[5] 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 ]
[6] 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, MA, USA, 2011. [ DOI ]
[7] 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, 2010. [ DOI ]
[8] 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 ]
[9] 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.
[10] 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 ]

Dissertation

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


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.
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Emergent and Autonomous Systems Laboratory


Our lab performs research in the general areas of applied dynamical systems, robotics, and pattern recognition. The central theme of our research is to understand and control systems that comprise multiple agents---robotic, animal, virtual or any combination of these. Applications of our work range from crowd management, environmental monitoring, better understanding of animal behavior, and bioinspiration in robotic design and autonomy.

Graduate students

  1. Elham Mohammadi (NIU)
  2. Sathish V (IIIT-Delhi)

Interns/Undergraduate students

  1. Abhishek Bhatia (IIT Delhi)
  2. Chaitanya Dwivedi (NSIT-Delhi)
  3. Puneet Jain (IIIT-Delhi)
  4. Naman Gupta (IIIT-Delhi)
  5. Anmol Singh (IIIT-Delhi)
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Teaching


Modeling complex systems Monsoon 2014, 2015
Math III (co-taught) Monsoon 2014
Stochastic estimation and control Winter 2015
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Movies


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