New!: BlueSwarm: Biologically-inspired Little Underwater Explorers! (Science Robotics 2021)
Visit our Youtube channel for videos on the latest robots and projects from our lab.
Our lab is part of Computer Science and Robotics, within the Paulson School of Engineering and Applied Sciences at Harvard. We are a member of the Wyss Institute for Biologically Inspired Engineering at Harvard, and Prof. Nagpal co-leads the Bio-inspired Robotics Platform (2008-20). We do research that spans computer science, robotics, and biology in many different ways. Our lab is committed to having a diverse, creative, interdisciplinary, team-oriented, and fun environment.
How to get to our Lab:
Our lab recently moved to the new Allston campus SEC building! More information to come.
Outreach and Lab Tours: We enjoy doing lab tours for groups aiming at broadening participation in robotics and STEM with underrepresented groups. For now our lab is closed to tours due to covid.
Joining our lab: At the moment we are not taking new postdocs or graduate students. However many of our alumni are faculty and have related (and cool!) research programs. Check out their labs! e.g. Kirstin Petersen@Cornell, Nils Napp@Cornell, Mike Rubenstein@Northwestern, Spring Berman@ASU, and Sabine Hauert@Bristol-UK.
COLLECTIVE ARTIFICIAL INTELLIGENCE
Biological systems, from cells to social insects, get tremendous mileage from the cooperation of vast numbers of cheap, unreliable, and limited individuals. What would it take to create our own artificial collectives of the scale and complexity that nature achieves?
Our group is interested in self-organizing systems, where large numbers of simple agents cooperate to produce complex and robust global behavior. We design and build novel bio-inspired robots and algorithms for collective intelligence, drawing inspiration from social insects and cells and body-brain-colony interactions. We also study self-organization in nature, specifically how social insects and cells cooperate to achieve complex tasks and what organizational principles translate accross scales. Our work combines AI, robotics (CS, EE & ME), and field biology.
A common theme in all of our work is understanding the relationship between local and global behavior: how does robust collective behavior arise from many locally interacting agents, and how can we engineer the local interactions of simple agents to achieve the global behaviors we want.
Fall SSR Retreat, 2017
Summer Kayaking, 2018