Swarm Upgrade Helps Mobile Robots Find Shorter, Smoother Paths
Researchers have developed a modified particle swarm optimization algorithm that outperforms eight competing heuristics in mobile robot path planning, cutting ...
Researchers have developed a modified particle swarm optimization algorithm that outperforms eight competing heuristics in mobile robot path planning, cutting ...
Researchers at Sapienza University of Rome have released Mo3D, an open-source Python framework that extends modular UAV mobility modeling into ...
MIT researchers have developed SANDO, a trajectory planning system that mathematically guarantees a drone's flight path will remain collision-free even ...
Researchers have developed an adaptive logistic regression model that lets low-cost autonomous robots classify obstacles and steer through dense environments ...
Researchers in China have developed a hybrid discrete-continuous planning algorithm that coordinates collision-free, physically feasible taxi trajectories for multiple aircraft ...
Researchers at the Korea Aerospace Research Institute have built and validated a standards-based airborne Detect-and-Avoid system for small autonomous aircraft, ...
Researchers applied EASA's W-shaped safety certification process, built for supervised learning, to a reinforcement learning drone navigating an urban environment ...
A hierarchical control architecture combines discrete vision-language navigation planning with switched PID, P and model predictive control to cut robot ...
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© 2025 Scienmag - Science Magazine