Postdoctoral Research Associate

Serre lab, Brown University

computer science + artificial intelligence + multi-agent simulation
+ computational modeling + behavioral dynamics

I am currently building a perception-action locomotor system to account for human locomotion in complex environments [Bonneaud et al. 2013]. I work with models coming from cognitive science and neurobiology. Specifically, I am coupling Serre lab's biologically plausible computational model of vision [Jhuang et al. 2007; Serre 2007] to the VENLab's cognitively grounded behavioral model of locomotion [Warren and Fajen 2008; Warren 2006]. Building upon my work in the VENLab on behavior and self-organization [Bonneaud et al. 2012; Bonneaud and Warren 2012], I started this project last summer to forge the collaboration between Prof. Thomas Serre and Prof. William H. Warren.

I study and design artificial agents with a multidisciplinary approach in computer science, artificial intelligence, and cognitive science. I am particularly interested in perception-action systems that exhibit stable, yet flexible behavioral patterns, adapting to chaotic and dynamic environments while maintaining a goal-directed behavior. One example of such behavior is locomotion. We experience daily how it is mostly effortless to navigate highly dynamic environments and how we are efficient at doing so. Consider for instance the crowded streets of NYC or a train station at rush hour. Yet, it is still difficult to explain all aspects of human locomotion, such as crowd dynamics, using agents in virtual environments and impossible to achieve similar performances as humans with robots. Beyond the case of study of locomotion, understanding such ubiquitous and apparently elementary behavior opens up on fundamental questions on human behavior and cognition. And such research has a vast range of applications, from pedestrian and crowd simulations, to the design of more natural and efficient behavioral systems for artificial agents and robotic platforms, for collective robot locomotion and for human-robot interactions.

Jhuang, H., Serre, T., Wolf, L., and Poggio, T. (2007). A Biologically Inspired System for Action Recognition, ICCV.

Serre, T., Oliva, A., and Poggio, T. (2007). A feedforward architecture accounts for rapid categorization. PNAS, 104:15, 6424-6429.

Warren, W.H., and Fajen, B. (2008). Behavioral Dynamics of Visually-Guided Locomotion. In Fuchs&Jirsa, Coordination.

Warren, W.H. (2006). The dynamics of perception and action. Psychological review, 113: 358–389.

Bonneaud, S., Warren, W.H., Olfers, K., Irwin, G., and Serre, T. (2013). Towards a biologically-inspired vision system for the control of locomotion in complex environments. VSS 2013 conference, Naples FL, 2013.

Bonneaud, S., Rio, K., Chevaillier, P., and Warren, W.H. (2012). Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations. IEEE Transactions on Education, 7145, 1-11.

Bonneaud, S. and Warren, W.H. (2012). An empirically-grounded emergent approach to modeling pedestrian behavior. Pedestrian and Evacuation Dynamics, Zurich CH, 2012.

Please contact me for any further information or you can directly email me at stephane<at>bonneaud<dot>org or at stephane_bonneaud<at>brown<dot>edu

View Stephane Bonneaud's
	  LinkedIn profileLinkedIn profile
View Stephane Bonneaud's
	  Mendeley profile Mendeley profile