There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

The proposed algorithm infuses specific domain knowledge into robot path planning through the development of five problem-specific operators that integrate a local search technique to improve ...

Below we have compiled a full list of Google algorithm launches, updates, and refreshes that have rolled out over the years, as well as links to resources for SEO professionals who want to ...

Planning is one of the core components that enable robots to be autonomous. Robot planning is responsible for deciding in real-time what the robot should do next, how to do it, where the robot should ...

Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems. The open source Solver AI for Java, Python and Kotlin to optimize ...

The path risk value is taken as the cost, the particle swarm optimization-beetle antennae search (PSO-BAS) algorithm is used to plan the spatial 3D route, and it effectively reduces the generated path ...

Reinforcement Learning, Long Short-Term Memory (LSTM), and Search Algorithms with Practical Applications in Python and TensorFlow.

Central to our work on perception and planning are heuristic search algorithms that we actively research. For instance, we have developed multi-heuristic graph search techniques that allow algorithms ...