Two years after the first international RoboCup, this robot soccer team was formed and began stepping up to the challenges put forth by the robocup
While the league was still utilizing four-legged Sony Aibos, the UPennalizers made the quarterfinal rounds every year
The team reformed and returned to begin competing in the Standard Platform League with Aldebaran Nao robots, taking on bipedal motion alongside improved vision techniques and advanced behavior control
The team transitioned to being entirely student-run and self-funded.
Our team is studying the foundations in kinematics and dynamics for humanoid robot locomotion and for kick, squat, dive and get-up motions. We apply reinforcement learning to improving the gait of the humanoid robots.
Our robots use cameras as primary sensors for localization and object detection. We are focusing on light-invariant feature extraction and fast object detection using a combination of traditional computer vision algorithms and deep learning.
Our behavior projects range from lower level single robot behavior (path planning and decision making) to team coordination (position and role calculation, coordination in a multi-agent system, work distribution).
R&D Team Lead, Vision and Locomotion
Masters in Systems Science and Engineering '19'
R&D Team Lead, Behavior
Computer Science and Cognitive Science '20
Management Team Lead
Systems Science and Engineering '21'
Computer Science ’22
Mechanical Engineering and Applied Mechanics ‘22
Computer Science '22
Electrical Engineering + Healthcare Management & Policy '21
Cognitive Science and Computer Science '19
Computer Engineering ‘21
Mechanical Engineering and Applied Mechanics ‘21
Materials Science and Engineering ‘22
Electrical Engineering ‘21