Parth is a third year Bioengineering and Electrical Engineering and Computer Science (EECS) student at Berkeley with an interest in medical and clinical software.
Parth worked on the computer vision to detect different colored pieces, the homography to find where they were on the table, and the integration with the AR tag to find the location of the pieces in the real world.
Jasmine is a fourth year Electrical Engineering and Computer Science (EECS) student with a focus in systems and software and a minor in Bioengineering.
Jasmine worked on the robot kinematics foundation, contributed to the computer vision used to find corners and midpoints of the desired objects, and integrated the computer vision and AR output into the robot kinematics.
Albert is a third year at Berkeley majoring in Electrical Engineering and Computer Sciences (EECS), focusing in software and ML/AI.
Albert contributed to the development of the computer vision to detect pieces, AR tags to determine position, and final integration.
Justin is a 4th year Bioengineering student minoring in Electrical Engineering and Computer Science (EECS). His major interest lies in the electrical hardware systems of biomedical devices.
His major contributions to the project include providing the proper input for desired puzzle configurations as well as the interfacing between augmented reality tags (AR tags) and Baxter hand cameras.
Teresa is a third year studying EECS and Bioengineering with an interest in medical devices and laboratory automation.
She worked on making the robot kinematics more robust, contributed to the computer vision used to find corners and midpoints of the desired objects, and assisted with finding and using homography to transform the camera image.