Ninad Pradhan

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The restoration of digital images can be carried out using two salient approaches, image inpainting and constrained texture synthesis. Each of these have spawned many algorithms to make the process more optimal, automated and accurate. This paper gives an overview of the current body of work on the subject, and discusses the future trends in this relatively(More)
A potential function based path planner for a mobile robot to autonomously navigate an area crowded with people is proposed. Path planners based on potential functions have been essentially static, with very limited representation of the motion of obstacles as part of their navigation model. The static formulations do not take into account the possibility(More)
A predictive field based path planner for mobile robot navigation in indoor areas is described. Predictive fields are used for incorporating moving obstacle information into the navigation function framework. Navigation functions have been limited by geometric restrictions for robot workspaces and cannot easily be used in everyday environments. A methodical(More)
In the capstone project courses in Electrical and Computer Engineering at Clemson University robotics projects are used as a medium to teach senior-year undergraduates the tools required for engineering practice and team-based design, qualities essential for their professional success as engineers. The student teams solve technical problems while learning(More)
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