Joseph Bruno

Position: Lab Alumnus

Focus: Scene Understanding and Planning

Joe is a PhD student in the Temple Robotics and Artifical Intelligence Lab (TRAIL) at Temple University and a visting student researcher in the Multi-robot Systems Lab (MSL) at Stanford University. His previous work focused on Coverage Path Planning (CPP) problems for large infrastructure such as ships or bridges using quadrotors as well as creating accurate digital twins with the resulting data. He is currently interested in how robot learning methods can be evolved for more generalizable solutions in the real world.