18.11.2015 17 c.t.
From Neural Dynamics and Synaptic Plasticity to Complex Behaviors: An Embodied Neural Computation Approach
by Prof. Dr. Poramate Manoonpong
from Embodied AI & Neurorobotics Lab, The Maersk Mc-Kinney Moller Institute, The University of Southern Denmark
MPI DS seminar room (0.77/0.79)
The insect brain is a very efficient neural computing system. It can process high-dimensional sensory information and generate coordinated motor commands in real time, resulting in various complex behaviors (e.g., adaptive locomotion and navigation). Biological studies reveal that this amazing control performance is achieved by using the full capacity of its neural dynamics and plasticity as well as by interacting with the environment through its biomechanical body. Following the insect strategy, in this lecture, I will present our embodied neural computation approach that combines neural dynamics, synaptic plasticity, sensory feedback, and biomechanics to achieve complex autonomous behaviors of walking robots. The behaviors include adaptive walking, dealing with morphological change, climbing over obstacles, and navigating in a complex environment.
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