Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Robotic path-planning"”.
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Inference and robotic path planning over high dimensional categorical observations
… Recent developments in topic modeling for robotics have highlighted the potential to efficiently extract meaningful relationships from categorical data, and adjust robotic path-planning based on real-time inference. This dissertation seeks to fill the gap in streaming statistical models for …
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Inference and Robotic Path Planning over High Dimensional Categorical Observations
… Recent developments in topic modeling for robotics have highlighted the potential to efficiently extract meaningful relationships from categorical data, and adjust robotic path-planning based on real-time inference. This dissertation seeks to fill the gap in streaming statistical models for …
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Real-Time Roadway Mapping and Ground Robotic Path Planning Via Unmanned Aircraft
… details the development of computer vision and path planning algorithms in order to map an area via UAV aerial imagery and aid a UGV in navigating a roadway when the road conditions are not previously known (i.e. disaster situations). Feature detection was used for transform calculation and …
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Motion planning with dynamic constraints through pose graph optimization
… contribution is an optimization-based method for robotic path-planning that is able to recover vehicle controls in addition to discovering an optimized, feasible trajectory from start to goal for vehicles with arbitrary dynamics. The motion planner extends the application of factor-graph …
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Robotic Offline Path Planning
The aim of this study is to disseminate a novel path planner which is particularly used for offline robots to build more efficient collision-free trajectories in terms of the length in more skilled fashion. Robotic path planning as one of the most important problems has been under investigation by …
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High-Dimensional Motion Planning and Learning Under Uncertain Conditions
Many existing path planning methods do not adequately account for uncertainty. Without uncertainty these existing techniques work well, but in real world environments they struggle due to inaccurate sensor models, arbitrarily moving obstacles, and uncertain action consequences. For example, picking …
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Shortest Path Problems: Domain Restriction, Anytime Planning, and Multi-objective Optimization
Optimal path problems arise in many applications and several efficient methods are widely used for solving them on the whole domain. However, practitioners are often only interested in the solution at one specific source point, i.e. the shortest path to the exit-set from a particular starting …