Spot User Group: Academia & Research

Spot User Group

Academia & Research

Watch the recording of our conversation with four Boston Dynamics customers using Spot for academic and industry research. You will hear how they are exploring autonomous-legged robots for industry-specific research, human/robot interaction, developing advanced autonomy stacks, experimenting with artificial intelligence/machine learning, and more.

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Nicola Bezzo
Nicola Bezzo

Assistant Professor, University of Virginia

Nicola is an Assistant Professor with the Department of Engineering Systems and Environment and the Department of Electrical and Computer Engineering at the University of Virginia. He leads a team of researchers focused on increasing autonomy, resiliency, and security of mobile robotic and cyber-physical systems.


Christoffer Heckman
Christoffer Heckman

Assistant Professor, University of Colorado Boulder

Christoffer leads the Autonomous Robots and Perception Group in the Computer Science department at Colorado University. His work combines research on computer vision and sensor fusion for mapping and state estimation on mobile robots. He develops new tools in machine learning, control, planning, and robotic perception, and deploys these technologies on experimental robotic platforms.

Dale Musser
Dale Musser

Associate Teaching Professor, University of Missouri College of Engineering

Dale is an Associate Teaching Professor in the Department of Electrical Engineering and Computer Science and the IT Program at the University of Missouri. He has 25 years of experience managing technological innovation, designing and developing products and services, and teaching generations of designers, software engineers, and computer scientists.

Joris Sijs
Joris Sijs

Scientist, The Netherlands Organization for Applied Scientific Research (TNO)

Joris is the team lead of various programs at TNO where he helps to develop and integrate software modules for the perception, awareness and planning of autonomous systems and autonomous robots. More recently, he extended this work with the development of knowledge-graphs (or cognitive databases) and how to combine this type of AI with the machine- and deep-learning solutions in AI.

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Want to learn how Spot customers are developing tailor-made integrations to address unique business challenges? See firsthand how Spot's accessible API enables users to add preferred cameras and sensors, autonomously trigger sensors and send data to analysis software, create controls and autonomy systems, and more.

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Your Guide to Spot in Academia & Research

Accelerate your research and development, enhance student recruitment, and unlock opportunities for new curricula and teaching methodologies with agile mobile robots. Explore what's possible with Spot and see how your peers are already putting Spot to work.

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