Understanding multi-robot system capabilities can teach them to work better in coordination.
Quantifying inaccuracies of aviation modeling software can help teach better aerospace and mechanical engineering design.
Studying service learning’s impact on engineering education persistence could help develop courses to better serve diverse student populations.
Developing new machine learning algorithms can teach autonomous systems to extrapolate patterns and sequences.
Developing cheap, foldable gliding robots can aid search and rescue operations, increase access to hands-on robotics education.
Young students’ friendship groups may show trends in future STEM interest and proficiency.
By improving testing reliability and safety, rocket liquid propulsion research will be more accessible to students.
Teaching autonomous robots to navigate complex urban environments like a college campus will lead to better robotic assistants.
Developing better robotic arm algorithms can enable mobile robots to assist humans, make deliveries or build structures.
Creating a haptic feedback testbed robot could help researchers better understand haptic feedback control.