Home People Pulkit Agrawal People FacultyFaculty AI+DFaculty CSFaculty EEFaculty EmeritusLecturers Leadership Staff Instructors Assistant Professor. [AI+D and CS] email@example.com (617) 253-5851 Office: 32-342 Website Research Areas Artificial Intelligence + Machine LearningGraphics and VisionHuman-Computer InteractionRobotics Latest News More News February 28, 2024 Department of EECS Announces 2024 Promotions The Department of Electrical Engineering and Computer Science (EECS) is proud to announce multiple promotions. November 29, 2023 New method uses crowdsourced feedback to help train robots Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes. August 31, 2023 How to help high schoolers prepare for the rise of artificial intelligence A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds. August 10, 2023 A faster way to teach a robot A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively. June 15, 2023 A more effective way to train machines for uncertain, real-world situations Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.