| Prof. Evangelos Theodorou, the head of the Autonomous Control and Decisions Systems Lab, will host "Learning, Perception, and Control in Robots and Humans" on Aug. 25-26. Find out more. |
A grant from the National Science Foundation is providing GT-AE professor Evangelos Theodorou a platform to further explore control, computer vision, machine learning and artificial intelligence.
"Learning, Perception and Control in Robots and Humans" is the name of the workshop that Theodorou and his UCLA colleague, ProfessorStafano Soatto, will host August 25-26 in Washington, DC.
"This workshop seeks to advance the core themes underlying these disciplines and their mathematical underpinnings," said Theodorou.
Topics will include stochastic analysis and control, the geometry of spatial information and sensory signal processing, and geometric and algebraic structures which arise naturally in robotics, perception and learning.
"This workshop will bring together scientists from different areas of sciences and engineering to brainstorm on two questions related to the representation of sensory information and data, and generalization of decision and control mechanisms in robotics and autonomous systems," said Theodorou.
"The aforementioned topics will be investigated at the intersection of planning and control, information theory, machine learning, neuroscience and cognitive sciences, and perception. The emphasis of the workshop will be on the mathematical interdependencies and interconnections of these areas based on concepts drawn from differential geometric and topology."
Joining them in this two-day exploration will be nearly three dozen noted experts from a variety of fields including machine learning, sensing, & vision; stochastic control & statistical physics; geometric mechanics & control theory, and computational neuroscience &cognitive science.
"The workshop will also determine future research directions and identify open questions across the disciplines of control theory, machine learning, perception and cognitive sciences. These future research directions can bring autonomy into a new level and create new areas of investigation at the frontier of robust intelligence and autonomy."
]]>