معرفی
Daniel Aukes is an Associate Professor at Arizona State University's School of Manufacturing Systems and Networks, where he directs the IDEAlab. His research focuses on integrating design, manufacturing, and data-driven analysis to create affordable, accessible robots for niche environments.
- Education:
- Ph.D., Mechanical Engineering, Stanford University (2013)
- M.S., Mechanical Engineering, Stanford University (2009)
- B.S., Mechanical Engineering, Northwestern University (2004)
IDEAlab projects emphasize innovative fabrication techniques and materials paired with analytical methods to model complex robotic systems. His work spans soft robotics, foldable structures, and tunable compliance, with applications in underwater and terrestrial autonomous vehicles.
Recent publications highlight trends in soft robotics, origami-inspired design, compliant mechanisms, and data-driven optimization. Key subfields include tunable stiffness, embedded sensors, and bio-inspired locomotion for quadrupedal and swimming robots.
- Scientific Awards:
- NSF CAREER Award (2020)
- Wyss Institute Postdoctoral Fellowship (2013-2015)
He has advised doctoral students such as Roozbeh Khodambashi and Yuhao Jiang, while teaching courses like Embedded Systems Design Project and Foldable Robotics. The IDEAlab develops tools for rapid prototyping of laminate robots and explores manufacturing innovations like VoxelFuse and PopupCAD.
