Justin Werfel is a senior research scientist at Harvard’s Wyss Institute for Biologically Inspired Engineering, where he works on topics in complex and emergent systems, including swarm robotics, termite behavior, engineered molecular nanosystems, and evolutionary theory. He leads the Designing Emergence Laboratory, and works closely with a number of other collaborating labs. This talk will take place as

The past few years have witnessed significant progress in the field of legged locomotion and manipulation. This is mainly due to the availability of high-performance hardware as well as development of algorithms that scale to high-dimensional, hybrid and under-actuated systems. In this talk, I will present my recent research efforts, mainly on the algorithmic side,

Mario di Bernardo is Professor of Automatic Control at the University of Naples Federico II, Italy and Visiting Professor of Nonlinear Systems and Control at the University of Bristol, U.K. He currently serves as Deputy pro-Vice Chancellor for Internationalization at the University of Naples and coordinates the research area and PhD program on Modeling and

Sabine Hauert is Professor of Swarm Engineering at the University of Bristol in the UK. Her research focuses on making swarms for people, and across scales, from nanorobots for cancer treatment, to larger robots for environmental monitoring, or logistics. Before joining the University of Bristol, Sabine engineered swarms of nanoparticles for cancer treatment at MIT,

Carlo Pinciroli is an Associate Professor and Graduate Coordinator of the Robotics Engineering department at Worcester Polytechnic Institute (WPI), where he leads the NEST (Novel Engineering for Swarm Technologies) Lab. With additional appointments in WPI’s Artificial Intelligence Program, Computer Science, and Fire Protection Engineering, his research centers on swarm robotics. He is the creator of

Oliver Kroemer’s research focuses on developing algorithms and representations that enable robots to learn versatile manipulation skills over time. By equipping robots with the ability to acquire new skills and adapt manipulations to novel situations, his work opens up a wide range of potential applications—from assisting the elderly and maintaining parks and public spaces to

When humans talk to each other face-to-face, they use their voices, faces, and bodies together in a rich, multimodal, continuous, interactive process. For a robot to participate fully in this sort of natural, face-to-face conversation in the real world, it must also be able not only to understand the social signals of its human partners,

More info will follow soon. This talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning,” which explores how advances in machine learning are helping robots operate in new environments, learn new behaviors, and adapt to changing conditions.