Our core Science teams explore new ways to empower our customers with technologies that automate, optimize, and improve design and make processes.
Science teams at Autodesk Research examine new possibilities for artificial intelligence (AI), explore how humans and computers interact, discover new opportunities for robotics, and push what’s possible with computer simulation, mathematical optimization, and systems modeling.
Areas we focus on
Our core Science teams explore new ways to empower our customers across robotics; AI; human computer interaction; and improved simulation, optimization, and systems.
Artificial Intelligence (AI)
The Autodesk AI Lab is a global team of research scientists dedicated to advancing both fundamental and applied AI research, with the ultimate goal of empowering customers to imagine, design, and make a better world. Actively engaged with the broader AI research community, the AI Lab collaborates with leading academic and industry partners to publish at top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, and SIGGRAPH.
Human-Computer Interaction and Visualization
We develop a fundamental understanding of how humans perceive, learn, and interact with technology through rigorous scientific study, collaborations with leading academic institutions, and research partnerships with customers. Based on our learning outcomes, we develop novel interfaces and visualizations to solve current problems and explore future opportunities. Our HCI and visualization teams collaborate with leading academic and industry partners to publish at top-tier conferences such as CM CHI, ACM UIST, ACM DIS, IEEE Vis, and IEEE VR.
We research the future of robotics in manufacturing, architecture, construction, and media production. We accelerate growth of the most favorable technology trends in robotics—and mitigate risk of unfavorable trends—by contributing toward open-source technology and prototyping original research. Our robotics teams collaborate with leading academic and industry partners to publish at top-tier conferences such as ICRA, IROS, and RSS.
Simulation, Optimization, and Systems
Our goal is to radically increase and diversify the use of computer simulation, mathematical optimization, and systems modeling in the design, make, and use of things. With a toolbox that includes physics solvers, sensor networks, and state-of-the-art algorithms, we build the foundations of new technology that will help designers improve both the systems on which people depend, and the built environments in which people live and work.
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