Human-Robot Interaction is an interdisciplinary effort aimed at understanding and improving all aspects of interactions between humans and robots. Doctoral students in Human-Robot Interaction have the opportunity to build a unique degree program for themselves as they lay the foundations for future generations of researchers and practitioners working with robots.
The Human-Robot Interaction curriculum draws on knowledge from computer science, mechanical and electrical engineering, as well as psychology, philosophy, anthropology, legal fields, among various others. Cutting across the engineering and social sciences, human-robot interaction research at Tufts is a paradigmatic multi- and inter-disciplinary program with enormous future societal benefits.
Doctoral students work closely with faculty every step of the way. Researchers collaborate with and learn from some of the most renowned experts in the country, all while seamlessly transitioning from graduate studies to a career.
There’s no better place to earn your human-robot interaction degree than in a hub for modern technology. Tufts is only a short subway ride from downtown Boston and Cambridge—well-known centers for leading technology research and development.
Doctoral candidates pursue a joint PhD in their home department and in Human-Robot Interaction. Home departments include:
As artificial intelligence (AI) continues to develop and take on new roles in our lives, those with a degree in human-robot interaction will be in increasing demand. The future of AI is bright and holds much promise—to achieve all that’s possible with robots, we’ll need skilled engineers with hands-on experience researching, developing, and applying the principles of robotics and machine learning to projects big and small. With a degree from Tufts, you’ll be situated at the forefront of AI growth.
Three departments are associated with the joint Human-Robot Interaction PhD program: Computer Science, Electrical and Computer Engineering, and Mechanical Engineering. Students apply to and enroll through one of these departments either as a prospective graduate student or as a current graduate student after they have been accepted by one of the departments.
We recognize that attending graduate school involves a significant financial investment. Our team is here to answer your questions about tuition rates and scholarship opportunities.
Please contact us at gradadmissions@tufts.edu.
Research/Areas of Interest: Artificial intelligence, artificial life, cognitive modeling, foundations of cognitive science, human-robot interaction, multi-scale agent-based models, natural language understanding.
Research/Areas of Interest: navigation, safety-critical transportation systems, state estimation, human-robot interaction
Research/Areas of Interest: Optimization and Control, Machine Learning, Signal Processing, Graph Theory, Decentralized Algorithms
Research/Areas of Interest: data science, statistical signal processing, inverse problems, compressed sensing, information theory, convex optimization, machine learning, algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing
Research/Areas of Interest: Cognition and Psycholinguistics
Research/Areas of Interest: human-computer interaction, new interaction modes and techniques, implicit brain-computer interfaces, user interface software
Research/Areas of Interest: Signal processing; image processing; simulation modeling
Research/Areas of Interest: Engineering Education, Human Robot Interaction, Mechanical Engineering, Music Engineering, Artificial Intelligence and Image Processing
Research/Areas of Interest: human-robot interaction, accessibility, robotics, human-in-the-loop machine learning, assistive technology Applying human-centered design and disability community values to the development, deployment, and evaluation of AI and machine learning for robotics, including: human-centered human-in-the-loop machine learning; disability-friendly assistive robotics; autonomous HRI in groups, public spaces, and other human-human contexts; and accessibility and disability inclusion in robotics education and the computing research community.
Research/Areas of Interest: Artificial Intelligence, Developmental Robotics, Computational Perception, Robotic Manipulation, Machine Learning, Human-Robot and Human-Computer Interaction
Research/Areas of Interest: Microelectromechanical Systems (MEMS) fabrication, modeling, and testing. Particularly acoustic MEMS (microphones, ultrasound), and aerodynamic measurement technologies (skin friction sensors, aeroacoustic sensors). Acoustics, vibrations, dynamics and controls. Electromechanical systems including robotics. Finite element methods and system modeling. Electronics for measurement. Mechanical measurements.