A Quadratic Regulator-Based Heuristic for Rapidly Exploring State Space Elena Glassman and Russ Tedrake Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of findin

First Page		Document Content
Date: 2016-07-29 16:41:12 Mathematics Search algorithms Geometry Space Metric geometry Optimal control Mathematical optimization Rapidly-exploring random tree Robot navigation A* search algorithm K-nearest neighbors algorithm Metric		A Quadratic Regulator-Based Heuristic for Rapidly Exploring State Space Elena Glassman and Russ Tedrake Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of findin Add to Reading List Source URL: eglassman.github.io Download Document from Source Website File Size: 516,16 KB Share Document on Facebook

	POIsketch: Semantic Place Labeling over User Activity Streams 1 Dingqi Yang1 , Bin Li2 , Philippe Cudr´e-Mauroux1 eXascale Infolab, University of Fribourg, 1700 Fribourg, Switzerland 2 DocID: 1roz3 - View Document
	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Multi-Dimensional Classification with Super-Classes Jesse Read, Concha Bielza, Member, IEEE, Pedro Larra˜naga, Member, IEEE, DocID: 1rnBc - View Document
	MEMOCODE 2014 Design Contest: k-Nearest Neighbors with Mahalanobis Distance Metric Peter Milder Department of Electrical and Computer Engineering Stony Brook University Stony Brook, NY 11794–2350 DocID: 1rmvj - View Document
	A Collaborative Filtering Approach to Real-Time Hand Pose Estimation Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, Karthik Ramani Purdue University West Lafayette, IN 47907, USA {chihochoi, sinha12, choi240, jang64, DocID: 1rkoE - View Document
	Air pollution prediction via multi-label classification Giorgio Corani and Mauro Scanagatta Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) Scuola universitaria professionale della Svizzera italiana DocID: 1rh6r - View Document