'%20stroke='%23D7DEEF'%20stroke-width='2'/%3e%3ccircle%20cx='267'%20cy='466'%20r='186'%20fill='url(%23pearlShade)'/%3e%3cellipse%20cx='212'%20cy='404'%20rx='38'%20ry='24'%20fill='url(%23pearlGlow)'%20transform='rotate(-34%20212%20404)'/%3e%3c/g%3e%3cg%20id='pearl-2'%3e%3ccircle%20cx='551'%20cy='466'%20r='188'%20fill='url(%23pearlGrad)'%20stroke='%23D7DEEF'%20stroke-width='2'/%3e%3ccircle%20cx='551'%20cy='466'%20r='186'%20fill='url(%23pearlShade)'/%3e%3cellipse%20cx='496'%20cy='404'%20rx='38'%20ry='24'%20fill='url(%23pearlGlow)'%20transform='rotate(-34%20496%20404)'/%3e%3c/g%3e%3cg%20id='pearl-3'%3e%3ccircle%20cx='836'%20cy='466'%20r='188'%20fill='url(%23pearlGrad)'%20stroke='%23D7DEEF'%20stroke-width='2'/%3e%3ccircle%20cx='836'%20cy='466'%20r='186'%20fill='url(%23pearlShade)'/%3e%3cellipse%20cx='781'%20cy='404'%20rx='38'%20ry='24'%20fill='url(%23pearlGlow)'%20transform='rotate(-34%20781%20404)'/%3e%3c/g%3e%3cg%20id='pearl-4'%3e%3ccircle%20cx='1121'%20cy='466'%20r='188'%20fill='url(%23pearlGrad)'%20stroke='%23D7DEEF'%20stroke-width='2'/%3e%3ccircle%20cx='1121'%20cy='466'%20r='186'%20fill='url(%23pearlShade)'/%3e%3cellipse%20cx='1066'%20cy='404'%20rx='38'%20ry='24'%20fill='url(%23pearlGlow)'%20transform='rotate(-34%201066%20404)'/%3e%3c/g%3e%3cg%20id='pearl-5'%3e%3ccircle%20cx='1403'%20cy='466'%20r='188'%20fill='url(%23pearlGrad)'%20stroke='%23D7DEEF'%20stroke-width='2'/%3e%3ccircle%20cx='1403'%20cy='466'%20r='186'%20fill='url(%23pearlShade)'/%3e%3cellipse%20cx='1348'%20cy='404'%20rx='38'%20ry='24'%20fill='url(%23pearlGlow)'%20transform='rotate(-34%201348%20404)'/%3e%3c/g%3e%3cpath%20d='M1296%20963Q1296%20827%201234.0%20720.0Q1172%20613%201056.5%20554.5Q941%20496%20782%20496H432V0H137V1409H770Q1023%201409%201159.5%201292.5Q1296%201176%201296%20963ZM999%20958Q999%201180%20737%201180H432V723H745Q867%20723%20933.0%20783.5Q999%20844%20999%20958Z'%20fill='%2306256C'%20transform='translate(187.671%20549.000)%20scale(0.110717%20-0.110717)'/%3e%3cpath%20d='M137%200V1409H1245V1181H432V827H1184V599H432V228H1286V0Z'%20fill='%2306256C'%20transform='translate(472.225%20549.000)%20scale(0.110717%20-0.110717)'/%3e%3cpath%20d='M1133%200%201008%20360H471L346%200H51L565%201409H913L1425%200ZM942%20582%20803%20987%20739%201192Q723%201134%20709.0%201088.0Q695%201042%20537%20582Z'%20fill='%2306256C'%20transform='translate(754.291%20549.000)%20scale(0.110717%20-0.110717)'/%3e%3cpath%20d='M1105%200%20778%20535H432V0H137V1409H841Q1093%201409%201230.0%201300.5Q1367%201192%201367%20989Q1367%20841%201283.0%20733.5Q1199%20626%201056%20592L1437%200ZM1070%20977Q1070%201180%20810%201180H432V764H818Q942%20764%201006.0%20820.0Q1070%20876%201070%20977Z'%20fill='%2306256C'%20transform='translate(1033.866%20549.000)%20scale(0.110717%20-0.110717)'/%3e%3cpath%20d='M137%200V1409H432V228H1188V0Z'%20fill='%2306256C'%20transform='translate(1329.650%20549.000)%20scale(0.110717%20-0.110717)'/%3e%3c/svg%3e)
About
PEARL (Physical and Embodied AI & Robotics Laboratory) studies physical AI at the intersection of artificial intelligence and robotics. We explore how intelligence can be embodied in systems that understand their surroundings and act within them.
Our research aims to advance physical AI that can adapt to changing conditions and respond to unfamiliar situations. Central questions include how systems can learn from experience, use knowledge to guide their actions, and work alongside people when information is incomplete and the environment is uncertain.
Our interests span terrestrial, maritime, and aerospace domains, connecting broad questions about intelligence with the demands of different operating environments. Through this work, we seek to make autonomous systems more capable and dependable, with applications across industry and everyday life.
