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My current goal is to develop fast planning algorithms to enable human or autonomous system to materialize design more efficiently and integrate assembly logic as a driver in early-stage conceptual design.
Other research interests include the design and implementation of distributed robust planning algorithms to coordinate multiple autonomous vehicles in dynamic uncertain environments; robust and adaptive control to enable autonomous agile flight and aerobatics; and reinforcement learning for real-time mechanical and aerospace applications.
This research provides a rational planning algorithm which packages large and complex MEP systems into several smaller fabricated components using spatial planning algorithms to increase the efficiency of the installation process, create a safer work environment, improve construction quality and productivity, reduce construction cycle time, and minimize cost.
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The proposed string nailing algorithm also spends much less computation time than a search-based shortest path planning algorithm to generate almost the same antenna profiles.
This paper presents a Probabilistic Road Map (PRM) motion planning algorithm to be queried within Dynamic Robot Networks—a multi-robot coordination platform for robots operating with limited sensing and inter-robot communication.
In order to improve efficiency of the remote maintenance, it is necessary to design a corresponding trajectory planning algorithm to complete the automatic full coverage scanning of the complex tokamak cavity.
The basic task of the introduced path planning algorithms is to find a time-optimal path from a defined start position to a goal position with consideration of the time-varying ocean current for an autonomous underwater vehicle (AUV).
The paper also compares the performance of the developed motion planning algorithm to that of dynamically weighted A*.
This paper presents the performance analysis of a motion planning algorithm to optimize trajectories in terms of clearance, smoothness and execution time in cluttered scenarios.
The authors intend to use a disassembly planning algorithm to analyze the qualitative accuracy of a multi-body machine system, part of which receives a large changing external load.
They propose a frequency planning algorithm to solve this problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com