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Avinash C. Kak
Researcher at Purdue University
Publications - 259
Citations - 26030
Avinash C. Kak is an academic researcher from Purdue University. The author has contributed to research in topics: Mobile robot & Video tracking. The author has an hindex of 51, co-authored 254 publications receiving 25027 citations. Previous affiliations of Avinash C. Kak include Infosys.
Papers
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Proceedings ArticleDOI
An world-independent approach for the calibration of mobile robotics active stereo heads
TL;DR: This paper validates the approach for calibrating active stereo heads for which no prior knowledge of the world coordinate system is required by presenting results as accurate as a few millimeters in the calculation of the XYZ coordinates of objects at 1.5m from the stereo head.
Journal ArticleDOI
An interactive framework for acquiring vision models of 3-D objects from 2-D images
Yuichi Motai,Avinash C. Kak +1 more
TL;DR: A human-computer interaction framework for building vision models of three-dimensional objects from their two-dimensional images based on two guiding principles of HCI: provide the human with as much visual assistance as possible to help the human make a correct input; and verify each input provided by the human for its consistency with the inputs previously provided.
Proceedings ArticleDOI
Integrating sensing, task planning and execution
Chao-Ping Tung,Avinash C. Kak +1 more
TL;DR: An integrated framework for the sensing, the planning, and the execution aspects of assembly is presented that can now throw objects randomly into the work space of the robot and the robot then automatically synthesizes a manipulation plan that includes the operations of sensing and regrasping only when these are deemed necessary for the successful execution of assembly.
Journal ArticleDOI
A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments (DOI: 10.1016/j.cviu.2006.02.003)
Patent
Systems, methods, and computer-readable media for measuring quality of application programming interfaces
TL;DR: In this paper, the quality of an API is evaluated using documentation of the API, and values that include at least one of names of methods, parameters of the methods, and functions of methods.