The HRI community is a global populace consisting of research experts and practitioners from multiple fields and backgrounds. Related fields of study include robotics, human-computer interaction, human factors, linguistics, philosophy, psychology, education, entertainment, medicine, materials, and more.
We are in the process of finalizing an amazing lineup of speakers and panelists spanning academia, industry, government, and other research groups. Our list of speakers will be announced soon! Join the TAHRI mailing list or follow us on social media to stay updated!
Program Manager
Defense Advanced Research Projects Agency (DARPA)
Dr. Matthew Marge joined DARPA as a Program Manager to create, execute, and transition programs in artificial intelligence (AI), human-machine interaction, and multi-agent systems. His research interests include computational linguistics, machine learning, and conversational AI. Marge holds a doctorate and Master of Science in computer science – language technologies from Carnegie Mellon University, a Master of Science in artificial intelligence from the University of Edinburgh, and Bachelor of Science degrees in computer science and applied mathematics & statistics from Stony Brook University. He is an adjunct professor of linguistics and computer science at Georgetown University, and author/co-author of over 50 publications.
https://www.darpa.mil/staff/dr-matthew-marge
https://scholar.google.com/citations?user=K931JfEAAAAJ
We are excited to have an amazing lineup of speakers and panelists spanning academia, industry, government, and other research groups! Click the speaker pictures/names below to view their full bio!
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Karol Family Applied Technology Professor
Tufts University
Matthias Scheutz is the Karol Family Applied Technology Professor of computer and cognitive science in the Department of Computer Science and Director of the HRI Laboratory and HRI Masters and PhD programs at Tufts University. He has over 400 peer-reviewed publications in artificial intelligence, artificial life, agent-based computing, natural language understanding, cognitive modeling, robotics, human-robot interaction and foundations of cognitive science. His current research focuses on complex ethical AI-enabled robots with natural language interaction, problem-solving, and instruction-based learning capabilities in open worlds.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Senior Researcher
Microsoft Research
Sean Andrist is a senior researcher at Microsoft Research in Redmond, Washington. His research interests involve designing, building, and evaluating AI technologies that enable machines to understand and participate in the “social physics” of human interaction, such as social robots and mixed reality task assistants. He is currently working on the Platform for Situated Intelligence project, an open-source framework designed to accelerate research and development on a broad class of multimodal, integrative-AI applications. Sean received his PhD from the University of Wisconsin-Madison where he primarily researched effective social gaze behaviors in human-robot and human-agent interaction.
Below is the growing list of confirmed Program Committee members representing technological HRI research spanning academia, industry, government, and other research groups from around the globe. This list will continue to expand in the coming months.
Want to get involved? Apply here to join the Program Committee!
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