A robotic hand with brains
Gripping a pencil is not the same as picking up a baseball, especially for robots, which lack the versatility and adaptability of the human body. So Michelle Esponda ’17 (MS) created a prosthetic robotic hand that uses machine learning to identify the proper grasp. She explored this problem in her master’s thesis in biomedical engineering at the University of Rochester.
You can help
To learn how you can support science, technology, and women in STEM, contact Eric Brandt ’83, Executive Director of Advancement for the Hajim School, at (585) 273-5901.
—University Communications, January 2018