steering microrobot swarms
robots building robots
babies & NAO
sensing under uncertainty
learning in CPS
Our research activities cover a range of multi-robot cooperative control application fields, from environmental monitoring, to motion planning navigation and control under uncertainty, to networked decision making, to pediatric rehabilitation and human-robot interaction.
The mission of the is to systematically develop the theory to support provably correct and efficient algorithms, which will enable robot teams to cooperatively complete missions that are beyond the capabilities of individual monolithic systems.
Specific application spaces for which this technology is currently being developed include environmental monitoring, health care, agriculture, national security, and safe handling of hazardous material.