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Author: Zeid Kootbally
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1.
Inferring Intention Through State Representations in Cooperative Human-Robot Environments
Published: 6/7/2013
Authors: Craig I Schlenoff, Anthony Pietromartire, Zeid Kootbally, Stephen B. Balakirsky, Thomas Rollin Kramer, Sebti Foufou
Abstract: In this paper, we describe a novel approach for inferring intention during cooperative human-robot activities through the representation and ordering of state information. State relationships are represented by a combination of spatial relationships
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=912328
2.
USARSim/ROS: A Combined Framework for Robotic Control and Simulation
Published: 6/20/2012
Authors: Stephen B. Balakirsky, Zeid Kootbally
Abstract: The Robot Operating System (ROS) has been steadily gaining popularity among robotics researchers as an open source framework for robot control. The Unified System for Automation and Robot Simulation (USARSim) has been used for many years by robotics
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910918
3.
Functional Requirements of a Model for Kitting Plans
Published: 3/22/2012
Authors: Stephen B. Balakirsky, Zeid Kootbally, Thomas Rollin Kramer, Rajmohan Madhavan, Craig I Schlenoff, Michael O Shneier
Abstract: Industrial assembly of manufactured products is often performed by first bringing parts together in a kit and then moving the kit to the assembly area where the parts are used to assemble products. Kitting, the process of building kits, has not yet b
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=910875
4.
Fuzzy-Logic-Based Approach for Identifying Objects of Interest in the PRIDE Framework
Published: 8/21/2008
Authors: Zeid Kootbally, Craig I Schlenoff, Rajmohan Madhavan, Sebti Foufou
Abstract: On-road autonomous navigation of autonomous vehicles requires real--time motion planning in the presence of moving objects. Based on sensed data of moving objects in the environment and the situation it finds itself in, an autonomous vehicle has to p
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=824736
5.
Performance Evaluation of Cost-Based vs. Fuzzy-Logic-Based Prediction Approaches in PRIDE
Published: 3/20/2008
Authors: Zeid Kootbally, Craig I Schlenoff, Rajmohan Madhavan, Sebti Foufou
Abstract: PRIDE (PRediction In Dynamic Environments) is a hierarchical multi-resolutional framework for moving object prediction. PRIDE incorporates multiple prediction algorithms into a single, unifying framework. To date, we have applied this framework to pr
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=824651
6.
A Brief History of PRIDE
Published: 12/28/2007
Authors: Zeid Kootbally, Craig I Schlenoff, Rajmohan Madhavan
Abstract: PRIDE (PRediction In Dynamic Environments) is a framework that provides an autonomous vehicle's planning system with information that it needs to perform path planning in the presence of moving objects. The underlying concept is based upon a mult
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823623
7.
Driver Aggressivity Analysis Within the Prediction In Dynamic Environments (PRIDE) Framework
Published: 10/19/2007
Authors: Craig I Schlenoff, Zeid Kootbally, Rajmohan Madhavan
Abstract: PRIDE is a hierarchical multiresolutional framework for moving object prediction that incorporates multiple prediction algorithms into a single, unifying framework. PRIDE is based upon the 4D/RCS (Real-time Control System) reference model architectur
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=823604