Many applications in robotics would benefit from robots being able to learn manipulation skills from only few demonstrations or trials. This contrasts with the ongoing trend in machine learning of

Mohsen is a doctoral researcher at SCIoI, working on Project 27, Speed-Accuracy Tradeoffs in Collective Estimation. His research explores the role of networks in shaping collective opinion dynamics. In this

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

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

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.

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

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.

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

Mary Ellen Foster's research focuses on developing artificial agents—primarily robots—that can engage in natural, face-to-face conversations with humans, similar to well-known examples like C-3PO or R2-D2. To achieve such seamless