Tag: Robotics at JHU

LCSR Grad’s Company Has Created the Swiss Army Knife of Robots

May 4, 2017

“Robots allow manufacturers to operate more cheaply. But robots themselves aren’t cheap, limiting the ability of small manufacturers to compete with larger companies or win back business from overseas. A Baltimore startup thinks it has a solution: robots as a service. “Industrial robots typically sell for $75,000 or more, a significant capital outlay. And that […]

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Best Paper Award at IRC 2017

April 13, 2017

The paper “Software Architecture of the da Vinci Research Kit,” authored by LCSR members Zihan Chen, Anton Deguet, Russell H. Taylor, and Peter Kazanzides, won the Best Paper Award from the IEEE International Conference on Robotics Computing, in Taichung, Taiwan. More information about the da Vinci Research Kit can be found here.

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CAMP’s article featured by IEEE Transactions on Medical Imaging

December 21, 2015

CAMP’s joint effort on the first SPECT imaging using a miniaturized drop-in gamma detector and the da Vinci surgical system has not just been accepted for publication in the IEEE Transactions on Medical Imaging, but is one of the currently featured articles. Find the announcement and access to the paper here. Special thanks to the authors Bernhard […]

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New Graduates From LCSR

October 27, 2015

Alican Demir recently graduated from LCSR and is currently a Senior Mechanical Engineer working in product design, development, and testing at ClearGuide Medical. His thesis was titled “Bio-Inspired Antennal Tactile Sensing”. Ryan Murphy, a Senior Professional Staff member at Johns Hopkins University Applied Physics Laboratory, also graduated from LCSR. His thesis was titled, “Analysis and […]

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Other Recent LCSR News

October 27, 2015

Nassir Navab was awarded the 10- Year Lasting Impact Award at the 14th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2015) held in October in Fukuoka, Japan. His valuable contributions to the field of Medical Augmented Reality led to this award. Nassir Navab directs the Computer Aided Medical Procedures laboratory in LCSR and […]

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Muyinatu Bell Receives Pathway to Independence Award

October 27, 2015

Minimally invasive endonasal transsphenoidal surgery involves grinding away sphenoidal bone in the nasal cavity to reach the pituitary tumors. The procedure carries serious risk of injury to the carotid arteries. Muyinatu Bell, a postdoctoral fellow in the LCSR, recently received the National Institute of Biomedical Imaging and Bioengineering (NIBIB)’s prestigious Pathway to Independence Award to […]

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CAPE System Recognized as a 2015 TechConnect Innovation Awardee

October 27, 2015

Mehran Armand was Co-PI of the team that developed the CAPE System: “Computer-Assisted Craniomaxillofacial Surgery” which was recently recognized as a 2015 TechConnect Innovation Awardee. The technology is a novel computer-assisted surgical planning and intra-operative navigation system for use in craniofacial surgery and face-jaw-teeth transplantation. This system offers many advantages, including real-time cephalometric analysis and […]

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Peter Kazanzides and Russell Taylor present at FDA Public Workshop

October 27, 2015

Russell Taylor, the John C. Malone Professor in the Department of Computer Science, and Peter Kazanzides, a research professor in that department, made presentations at the Robotically-Assisted Surgical Devices (RASD) Workshop hosted by the Food and Drug Administration in July 2015. Taylor spoke about the “Essential Performance Characteristics of RASD,” and Kazanzides discussed the issues […]

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Research Experience for Undergraduates in Computational Sensing and Medical Robotics Program 2015

October 27, 2015

The Computational Sensing and Medical Robotics Research Experience for Undergraduates program was held from late May through the end of July this year. Eleven students participated in the program and worked on challenging research projects. In addition to working closely with faculty mentors and graduate student mentors on their research, the students also learned about […]

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Laboratory for Computational Sensing + Robotics