Fuzzy optimization for shortest path problems addresses uncertainty in network weights by representing arc costs with fuzzy numbers rather than crisp values. By extending classical algorithms—such as ...

Abstract: With the increasing popularity of electric vehicles (EVs), on the energy supply side, large-scale grid-connected charging of EVs poses new challenges to the safe and economical operation of ...

Adopting a path-planning technique requires a thorough assessment, understanding, mapping, and tracking of the robot’s position in its configuration area, as shown in Fig. 2. The significant ...

Data volumes are growing exponentially and performance expectations are at an all-time high, writing efficient code isn’t just a nicety—it’s a necessity. At the heart of code efficiency lies ...

The automatic synthesis of policies for robotics systems through reinforcement learning relies upon, and is intimately guided by, a reward signal. Consequently, this signal should faithfully reflect ...

I’ve been with my current employer for quite a bit now, and I conducted a number of interviews with the engineering (and sometimes engineering management) candidates. Usually, I interview for the ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

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Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT ...