A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain management.
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Updated
Feb 27, 2020 - Python
A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain management.
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
植保无人机凸多边形地块工作路线规划
This package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to co…
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Udacity's Intro to Self-Driving Cars Nanodegree Projects
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Route Planner with OpenStreetMap is a C++ based project which used the A* Search algorith for finding the distance between two points on a map.
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Distance calculation and route planner with Google Maps API
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