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Chris Lightcap
Researcher at MAKO Surgical Corp.
Publications - 19
Citations - 522
Chris Lightcap is an academic researcher from MAKO Surgical Corp.. The author has contributed to research in topics: Haptic technology & Optical fiber. The author has an hindex of 9, co-authored 18 publications receiving 480 citations. Previous affiliations of Chris Lightcap include University of Florida.
Papers
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Patent
Inertially tracked objects
Chris Lightcap,Hyosig Kang +1 more
TL;DR: In this paper, computer-based methods and apparatuses, including computer program products, for inertially tracked objects with a kinematic coupling are described, where a tracked pose of a first inertial measurement unit (IMU) is determined, wherein the first IMU is mounted to a first object.
Journal ArticleDOI
Improved Positioning Accuracy of the PA10-6CE Robot with Geometric and Flexibility Calibration
TL;DR: A 30-parameter flexible geometric model is applied to the Mitsubishi PA10-6CE robot and mean/peak positional errors are reduced from 1.80/2.45 mm to 0.33/0.71 mm while loaded at 44 N.
Journal ArticleDOI
An Extended Kalman Filter for Real-Time Estimation and Control of a Rigid-Link Flexible-Joint Manipulator
Chris Lightcap,Scott A. Banks +1 more
TL;DR: An extended Kalman filter (EKF) observer is presented to estimate manipulator states and couple these estimates to an adaptive rigid-link flexible-joint (RLFJ) controller, which demonstrated superior tracking performance compared to a traditional adaptive controller.
Patent
Neural Monitor-Based Dynamic Haptics
Chris Lightcap,Hyosig Kang +1 more
TL;DR: In this article, a computer assisted surgery system may have a robotic arm including a surgical tool and a processor communicatively connected to the robotic arm, and the processor may be configured to receive, from a neural monitor, a signal indicative of a distance between the surgical tools and a portion of a patient's anatomy including nervous tissue.
Journal ArticleDOI
Haptic Robot-assisted Surgery Improves Accuracy of Wide Resection of Bone Tumors: A Pilot Study
TL;DR: A novel passive (“haptics”) robot-assisted resection technique for primary bone sarcomas that takes advantage of robotic accuracy while still leaving control of the cutting instrument in the hands of the surgeon to enhance primary bone tumor resection.