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Award Abstract #1229178

MRI: Acquisition of a Large Volume, High Resolution Motion Capture System for an Interdisciplinary Research Facility

NSF Org: CNS
Division Of Computer and Network Systems
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Initial Amendment Date: August 16, 2012
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Latest Amendment Date: August 16, 2012
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Award Number: 1229178
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Award Instrument: Standard Grant
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Program Manager: Rita V. Rodriguez
CNS Division Of Computer and Network Systems
CSE Direct For Computer & Info Scie & Enginr
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Start Date: September 1, 2012
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End Date: August 31, 2015 (Estimated)
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Awarded Amount to Date: $203,988.00
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Investigator(s): David Cappelleri dcappell@purdue.edu (Principal Investigator)
Michael Zavlanos (Co-Principal Investigator)
Antonio Valdevit (Co-Principal Investigator)
Philippos Mordohai (Co-Principal Investigator)
Mark Blackburn (Co-Principal Investigator)
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Sponsor: Stevens Institute of Technology
CASTLE POINT ON HUDSON
HOBOKEN, NJ 07030-5991 (201)216-8762
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NSF Program(s): MAJOR RESEARCH INSTRUMENTATION
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Program Reference Code(s): 1189
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Program Element Code(s): 1189

ABSTRACT

Proposal #: 12-29178

PI(s): Cappelleri, David; Backburn, Mark; Mordohai, Philippos; Valdevit, Antonio; Zavlanos, Michael M.

Institution: Stevens Institute of Technology

Title: MRI/Acq.: Large Volume, High Resolution Motion Capture System for an Interdisciplinary Research Facility

Project Proposed:

This project, acquiring a Vicon Motion Capture System, aims to support a wide range of technologies and systems including unmanned vehicles, embedded robotics, sensing, perception and visualization, and collaborative, cooperative, networked robotics. Adding critical capability to researchers, the instrumentation is expected to impact research projects in the following areas:

- Micro aerial vehicles, Active Heterogeneous Sensor Teams, 3D Range Data Generation and Reconstruction,

- Control of Mobile Robot Networks, Biomechanics, Human-Robot collaboration, Concept Engineering, and Concept of Operations Development

Since the institution has initiated a wide range of interdisciplinary high-risk, high payoff technologies and systems, the instrumentation fosters a multidisciplinary research-intensive learning environment. Utilizing highly responsive instrumentation to capture the nuances that can be missed by lesser systems, this work should advance the area of motion capture to the next generation. The instrumentation is also expected to greatly accelerate research progress in the multiple areas addressed.

Broader Impacts:

The system impacts research projects in many emerging robotics, controls, and scientific areas of national and societal importance. The instrumentation supports a training environment and educational initiatives that contribute to increase the number of undergraduate and graduate students to the system and the research projects that leverage its capabilities. Enabled research will be incorporated into classes and outreach programs. This acquisition fosters further the integration of research and education.

 

Please report errors in award information by writing to: awardsearch@nsf.gov.

 

 

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