Tag: path planning

Engineers have developed an improved A* path planning algorithm that guides autonomous orchard robots safely between irrigation ditches and low-hanging ...

MAPS-Net, a new multi-modal attention and planning network, enhances autonomous UAV thermal mapping by combining deep learning with Monte Carlo ...

Researchers have developed a distributed exploration framework that combines cooperative grid allocation with velocity-aware risk prediction to keep autonomous drone ...

A two-phase optimization framework demonstrates that domain clustering governs Pareto coverage while reinforcement learning accelerates convergence during simulated drone navigation ...

Researchers have developed a dual-constrained pulse-coupled neural network algorithm that accelerates robotic path planning by suppressing redundant neuron activations without ...

Researchers report a simulation-based explainability framework that pairs a physics-guided reinforcement learning controller with XGBoost and SHAP analysis to trace ...

An in-person experiment with 35 participants found that a straight wall-following path was the most comfortable robot route in varying-width ...

A simulation study found that a PID-and-reactive navigation scheme kept a mobile robot collision-free but slowed it to 0.17 m/s ...

A modular path-planning framework called LKSD-PRRT* achieved a 100% static planning success rate and cut dynamic recovery time by 77.25% ...

Automated vehicles promise safer highways, but the hardest moments are often the simplest ones: a car ahead braking suddenly, a ...