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You searched for +publisher:"Wayne State University" +contributor:("Abhilash K. Pandya"). Showing records 1 – 4 of 4 total matches.

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Wayne State University

1. Khalid, Umer. Development And Human Performance Evaluation Of Control Modes Of An Exo-Skeletal Assistive Robotic Arm (esara).

Degree: PhD, Electrical and Computer Engineering, 2014, Wayne State University

  This research was conducted to assist with functional tasks for a targeted group of individuals with spinal cord injury (SCI); with C5 to C7… (more)

Subjects/Keywords: Assistive Robotics; Exo-Skeletal; Human Machine Interface; Lift Assist; Medical Robotics; Robot Arm; Engineering; Robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khalid, U. (2014). Development And Human Performance Evaluation Of Control Modes Of An Exo-Skeletal Assistive Robotic Arm (esara). (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1145

Chicago Manual of Style (16th Edition):

Khalid, Umer. “Development And Human Performance Evaluation Of Control Modes Of An Exo-Skeletal Assistive Robotic Arm (esara).” 2014. Doctoral Dissertation, Wayne State University. Accessed November 22, 2019. https://digitalcommons.wayne.edu/oa_dissertations/1145.

MLA Handbook (7th Edition):

Khalid, Umer. “Development And Human Performance Evaluation Of Control Modes Of An Exo-Skeletal Assistive Robotic Arm (esara).” 2014. Web. 22 Nov 2019.

Vancouver:

Khalid U. Development And Human Performance Evaluation Of Control Modes Of An Exo-Skeletal Assistive Robotic Arm (esara). [Internet] [Doctoral dissertation]. Wayne State University; 2014. [cited 2019 Nov 22]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1145.

Council of Science Editors:

Khalid U. Development And Human Performance Evaluation Of Control Modes Of An Exo-Skeletal Assistive Robotic Arm (esara). [Doctoral Dissertation]. Wayne State University; 2014. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1145


Wayne State University

2. Reisner, Luke Anthony. Techniques For Sensor-Integrated Robotic Systems: Raman Spectra Analysis, Image Guidance, And Kinematic Calibration.

Degree: PhD, Electrical and Computer Engineering, 2012, Wayne State University

  Robotics and sensor technology have made impressive advancements over the years. There are now robotic systems that help perform surgeries or explore the surface… (more)

Subjects/Keywords: Chemometrics; Computer-assisted surgery; Image guidance; Raman spectroscopy; Robot calibration; Sensor integration; Analytical Chemistry; Biomedical Engineering and Bioengineering; Robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Reisner, L. A. (2012). Techniques For Sensor-Integrated Robotic Systems: Raman Spectra Analysis, Image Guidance, And Kinematic Calibration. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/614

Chicago Manual of Style (16th Edition):

Reisner, Luke Anthony. “Techniques For Sensor-Integrated Robotic Systems: Raman Spectra Analysis, Image Guidance, And Kinematic Calibration.” 2012. Doctoral Dissertation, Wayne State University. Accessed November 22, 2019. https://digitalcommons.wayne.edu/oa_dissertations/614.

MLA Handbook (7th Edition):

Reisner, Luke Anthony. “Techniques For Sensor-Integrated Robotic Systems: Raman Spectra Analysis, Image Guidance, And Kinematic Calibration.” 2012. Web. 22 Nov 2019.

Vancouver:

Reisner LA. Techniques For Sensor-Integrated Robotic Systems: Raman Spectra Analysis, Image Guidance, And Kinematic Calibration. [Internet] [Doctoral dissertation]. Wayne State University; 2012. [cited 2019 Nov 22]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/614.

Council of Science Editors:

Reisner LA. Techniques For Sensor-Integrated Robotic Systems: Raman Spectra Analysis, Image Guidance, And Kinematic Calibration. [Doctoral Dissertation]. Wayne State University; 2012. Available from: https://digitalcommons.wayne.edu/oa_dissertations/614


Wayne State University

3. Chintamani, Keshav. Augmented Reality Navigation Interfaces Improve Human Performance In End-Effector Controlled Telerobotics.

Degree: PhD, Mechanical Engineering, 2010, Wayne State University

  On the International Space Station (ISS) and space shuttles, the National Aeronautics and Space Administration (NASA) has used robotic manipulators extensively to perform payload… (more)

Subjects/Keywords: augmented reality; manual control; navigation and guidance; space robotics; telerobotics; virtual reality; Mechanical Engineering; Other Earth Sciences; Robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chintamani, K. (2010). Augmented Reality Navigation Interfaces Improve Human Performance In End-Effector Controlled Telerobotics. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/80

Chicago Manual of Style (16th Edition):

Chintamani, Keshav. “Augmented Reality Navigation Interfaces Improve Human Performance In End-Effector Controlled Telerobotics.” 2010. Doctoral Dissertation, Wayne State University. Accessed November 22, 2019. https://digitalcommons.wayne.edu/oa_dissertations/80.

MLA Handbook (7th Edition):

Chintamani, Keshav. “Augmented Reality Navigation Interfaces Improve Human Performance In End-Effector Controlled Telerobotics.” 2010. Web. 22 Nov 2019.

Vancouver:

Chintamani K. Augmented Reality Navigation Interfaces Improve Human Performance In End-Effector Controlled Telerobotics. [Internet] [Doctoral dissertation]. Wayne State University; 2010. [cited 2019 Nov 22]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/80.

Council of Science Editors:

Chintamani K. Augmented Reality Navigation Interfaces Improve Human Performance In End-Effector Controlled Telerobotics. [Doctoral Dissertation]. Wayne State University; 2010. Available from: https://digitalcommons.wayne.edu/oa_dissertations/80


Wayne State University

4. Kast, Rachel. Identification Of Neuroblastoma And Its Prognostic Markers Using Raman Spectroscopy.

Degree: PhD, Biomedical Engineering, 2010, Wayne State University

  Introduction: Neuroblastoma is the most common cancer of infancy. It is one of several peripheral nervous system tumors, including ganglioneuroma, peripheral nerve sheath tumor,… (more)

Subjects/Keywords: Discriminant Function Analysis; Histology; Neuroblastoma; Prognosis; Raman Spectroscopy; Biomedical Engineering and Bioengineering; Biostatistics; Oncology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kast, R. (2010). Identification Of Neuroblastoma And Its Prognostic Markers Using Raman Spectroscopy. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/94

Chicago Manual of Style (16th Edition):

Kast, Rachel. “Identification Of Neuroblastoma And Its Prognostic Markers Using Raman Spectroscopy.” 2010. Doctoral Dissertation, Wayne State University. Accessed November 22, 2019. https://digitalcommons.wayne.edu/oa_dissertations/94.

MLA Handbook (7th Edition):

Kast, Rachel. “Identification Of Neuroblastoma And Its Prognostic Markers Using Raman Spectroscopy.” 2010. Web. 22 Nov 2019.

Vancouver:

Kast R. Identification Of Neuroblastoma And Its Prognostic Markers Using Raman Spectroscopy. [Internet] [Doctoral dissertation]. Wayne State University; 2010. [cited 2019 Nov 22]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/94.

Council of Science Editors:

Kast R. Identification Of Neuroblastoma And Its Prognostic Markers Using Raman Spectroscopy. [Doctoral Dissertation]. Wayne State University; 2010. Available from: https://digitalcommons.wayne.edu/oa_dissertations/94

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