Baykal, Alterovitz earn Best Paper at RSS 2017

Ron Alterovitz

Cenk Baykal (B.S. 2015) and associate professor Ron Alterovitz earned the Best Paper award at Robotics: Science and Systems (RSS) 2017 in Cambridge, Massachusetts. Their paper, “Asymptotically Optimal Design of Piecewise Cylindrical Robots using Motion Planning,” introduced a method of motion planning that allows a tentacle-like medical robot to navigate through an area of the body and reach as many target regions as possible while avoiding obstacles like bones and major organs.

The full paper is available online.

For more information on robotics and motion planning research by the Computational Robotics Group, please visit the group’s website.

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