Prof. Richard M. Voyles Profile

Prof. Richard M. Voyles

at Univ of Minnesota

SPIE Involvement:

Author

Proceedings Article | 9 May 2006 Paper

Wearable joystick for gloves-on human/computer interaction

Jaewook Bae, Richard Voyles

Proceedings Volume 6230, 62300N (2006) https://doi.org/10.1117/12.668920

KEYWORDS: Magnetic sensors, Fractal analysis, Sensors, Surgery, Magnetism, Human-computer interaction, Signal processing, Mathematical modeling, Data conversion, Computing systems

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Proceedings Article | 9 May 2006 Paper

A reconfigurable computing platform for plume tracking with mobile sensor networks

Byung Hwa Kim, Colin D'Souza, Richard Voyles, Joel Hesch, Stergios Roumeliotis

Proceedings Volume 6230, 62301I (2006) https://doi.org/10.1117/12.668961

KEYWORDS: Sensors, Field programmable gate arrays, Reconfigurable computing, Robots, Logic, Sensor networks, Detection and tracking algorithms, Control systems, Computer programming, Software development

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Much work has been undertaken recently toward the development of low-power, high-performance sensor networks. There are many static remote sensing applications for which this is appropriate. The focus of this development effort is applications that require higher performance computation, but still involve severe constraints on power and other resources. Toward that end, we are developing a reconfigurable computing platform for miniature robotic and human-deployed sensor systems composed of several mobile nodes. The system provides static and dynamic reconfigurability for both software and hardware by the combination of CPU (central processing unit) and FPGA (field-programmable gate array) allowing on-the-fly reprogrammability. Static reconfigurability of the hardware manifests itself in the form of a "morphing bus" architecture that permits the modular connection of various sensors with no bus interface logic. Dynamic hardware reconfigurability provides for the reallocation of hardware resources at run-time as the mobile, resource-constrained nodes encounter unknown environmental conditions that render various sensors ineffective. This computing platform will be described in the context of work on chemical/biological/radiological plume tracking using a distributed team of mobile sensors. The objective for a dispersed team of ground and/or aerial autonomous vehicles (or hand-carried sensors) is to acquire measurements of the concentration of the chemical agent from optimal locations and estimate its source and spread. This requires appropriate distribution, coordination and communication within the team members across a potentially unknown environment. The key problem is to determine the parameters of the distribution of the harmful agent so as to use these values for determining its source and predicting its spread. The accuracy and convergence rate of this estimation process depend not only on the number and accuracy of the sensor measurements but also on their spatial distribution over time (the sampling strategy). For the safety of a human-deployed distribution of sensors, optimized trajectories to minimize human exposure are also of importance. The systems described in this paper are currently being developed. Parts of the system are already in existence and some results from these are described.

Proceedings Article | 18 August 1999 Paper

System of launchable mesoscale robots for distributed sensing

Kemal Yesin, Bradley Nelson, Nikolaos Papanikolopoulos, Richard Voyles, Donald Krantz

Proceedings Volume 3834, (1999) https://doi.org/10.1117/12.357812

KEYWORDS: Video, Robots, Cameras, Sensors, Actuators, Video surveillance, Shape memory alloys, CMOS sensors, Sensing systems, Transmitters

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Conference Committee Involvement (1)

Unmanned Systems Technology X

17 March 2008 | Orlando, Florida, United States

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