Soft Robotics With Mark Cutkosky "Gecko Climbing Robots"

Cutkosky applies analyses, simulations, and experiments to the design and control of robotic hands, tactile sensors, and devices for human/computer interaction. In manufacturing, his work focuses on design tools for rapid prototyping.

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Soft Robotics With Mark Cutkosky "Gecko Climbing Robots"

Mark R. Cutkosky is the Fletcher Jones Professor in the Dept. of Mechanical Engineering at Stanford University. He joined Stanford in 1985, after working in the Robotics Institute at Carnegie Mellon University and as a design engineer at ALCOA, in Pittsburgh, PA. He received his Ph.D. in Mechanical Engineering from Carnegie Mellon University in 1985.

Cutkosky’s research activities include robotic manipulation and tactile sensing and the design and fabrication of biologically inspired robots. He has graduated 48 Ph.D. students and published extensively in these areas. He consults with companies on robotics and human/computer interaction devices and holds several patents on related technologies. His work has been featured in Discover Magazine, The New York Times, National Geographic, Time Magazine and other publications and has appeared on PBS NOVA, CBS Evening News, and other popular media.

Cutkosky’s awards include a Fulbright Faculty Chair (Italy 2002), Fletcher Jones and Charles M. Pigott Chairs at Stanford University, an NSF Presidential Young Investigator award and Times Magazine Best Innovations (2006) for the Stickybot gecko-inspired robot. He is a fellow of ASME and IEEE and a member of Sigma Xi.

Soft Robotics With Mark Cutkosky 

Marwa ElDiwiny, host of the Soft Robotics podcast, interviews Mark about his work in soft robotics.


More about Soft Robotics Podcast

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This podcast is dedicated to the (soft) robotics community and audience who are interested in (soft)robotics technology. We interview guests from both academia and industry where we discuss their latest research besides highlighting the challenges that face robotics in the academic and industrial ... learn more

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