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Interactive Environment Exploration in Clutter Megha Gupta∗ , Thomas R¨uhr† , Michael Beetz‡ and Gaurav S. Sukhatme∗ Abstract— Robotic environment exploration in cluttered environments is a challenging problem
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Document Date: 2013-11-12 19:58:17


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File Size: 1,29 MB

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City

Heuristic / Shanghai / Cambridge / London / /

Company

SIAM Journal / L.L.S. Wong L.P. / MIT Press / IEEE/RSJ Intl / Robotic Embedded Systems Laboratory / 11th IEEE-RAS Intl / IEEE Intl / AAAI Press / /

Country

China / /

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Facility

W. Garage / University of Southern California / University Bremen / Willow Garage / Point Cloud Library / Robotic Embedded Systems Laboratory / /

IndustryTerm

exploration algorithm / adaptive horizon exploration algorithm / direct applications / adaptive horizon algorithm / random planning algorithm / sensor networks / adaptive lookahead exploration algorithm / Active visual search / object search using manipulation / object search / multi-step lookahead algorithm / disaster site / search area / fixed horizon algorithm / computing / possible solutions / 3D object search / /

Organization

MIT / US National Science Foundation / University of Southern California / Los Angeles / Defense Advanced Projects Research Agency / Computer Science Department / /

Person

Michael Beetz / /

Position

A. Implementation The planner / robot head / planner / /

ProvinceOrState

Massachusetts / /

Region

Southern California / /

Technology

fixed horizon algorithm / random planning algorithm / adaptive lookahead exploration algorithm / exploration algorithm / proposed algorithm / multi-step lookahead algorithm / artificial intelligence / Heuristic-based algorithms / Adaptive Horizon Exploration algorithm / 8 Algorithm / planning algorithm / simulation / adaptive horizon algorithm / two algorithms / presented algorithm / /

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http /

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