Biologically Inspired Robotics Group (BIRG)

"The Biologically Inspired Robotics Group's research interests are at the intersection between robotics, computational neuroscience, nonlinear dynamical systems, and adaptive algorithms (optimization and learning algorithms).

We develop and apply computational methods with solid mathematical foundations to a variety of problems related to modeling, optimization, and control in computer science, biology, and robotics. We also take inspiration from biology to produce novel types of robots with adaptive locomotion and sensorimotor coordination abilities, and use the robots to investigate hypotheses of how central nervous systems implement these abilities in animals.

We carry out research projects in the following areas: numerical simulations of locomotion and movement control, dynamic simulators of articulated rigid bodies, statistical learning algorithms, evolutionary algorithms, nonlinear dynamical systems, humanoid robotics, amphibious articulated robotics, and modular robotics."