More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements. Image created with DALL-E by Maria Ott.
Abstract Understanding the computational principles of embodied intelligence is central to advancing robotic systems that perceive and act in complex environments. This talk explores key principles—low power consumption, robustness, and generalizability—as they emerge in the context of motion perception and action. For visual navigation, evidence is presented that challenges the conventional SLAM paradigm, which relies
More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements. Image created with DALL-E by Maria Ott.
More details to follow. This talk is part of course Olga Shurygina's course "Active Sensing," a seminar on cutting-edge research on active sensory perception in humans and other mammals and realted advances in artificial agents' abilities such as seeing, grasping, and navigating in space. Photo created with DALL-E by Maria Ott.
Abstract Artificial intelligence and robotics have been making great progress in recent years but how close are we to emulating human intelligence? This talk will explore the similarities and differences between humans and AIs and discuss the development of biomimetic cognitive systems that more directly think and behave like us. A key focus will be
More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements. Image created with DALL-E by Maria Ott.
More details to follow. This talk is part of course Olga Shurygina's course "Active Sensing," a seminar on cutting-edge research on active sensory perception in humans and other mammals and realted advances in artificial agents' abilities such as seeing, grasping, and navigating in space. Photo created with DALL-E by Maria Ott.
More details to follow. Bio Fumiya Iida is Professor of Robotics at the Department of Engineering, University of Cambridge. Previously he was an assistant professor for bio-inspired robotics at ETH Zurich (2009-2014) and a lecturer at Cambridge (2014-2018). He received his bachelor and master degrees in mechanical engineering at Tokyo University of Science (Japan, 1999),
More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements. Image created with DALL-E by Maria Ott.
Moe details to follow. This talk is part of course Olga Shurygina's course "Active Sensing," a seminar on cutting-edge research on active sensory perception in humans and other mammals and realted advances in artificial agents' abilities such as seeing, grasping, and navigating in space. Photo created with DALL-E by Maria Ott.
More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements. Photo created with DALL-E by Maria Ott.
More details to follow. Bio Bill (he/him) earned his undergraduate degree at Hampshire College (1976), his Ph.D. in Experimental Psychology from the University of Connecticut (1982), did post-doctoral work at the University of Edinburgh, and has been a professor at Brown ever since. He served as Chair of the Department of Cognitive and Linguistic Sciences
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