Capsule Networks and User-Aware Path Planning Bring Yi Cultural Heritage Into Virtual Reality
A new study combines an improved graph capsule neural network with a user-aware A* path planning algorithm to create an ...
A new study combines an improved graph capsule neural network with a user-aware A* path planning algorithm to create an ...
Researchers trained a deep reinforcement learning agent to plan collision-free paths for a fuel-saving free-floating space manipulator, even with noisy ...
Researchers in Colombia have developed heuristic and hyper-heuristic algorithms that generate synthetic lightning paths with controlled tortuosity, achieving about 99 ...
Researchers have developed a modified particle swarm optimization algorithm that outperforms eight competing heuristics in mobile robot path planning, cutting ...
Researchers at Beihang University have developed a fuzzy-based adaptive kinodynamic RRT* path-planning algorithm that lets fixed-wing aircraft plan physically feasible ...
Researchers have developed an adaptive logistic regression model that lets low-cost autonomous robots classify obstacles and steer through dense environments ...
Researchers at the Shanghai Institute of Technical Physics have developed a two-layer dynamic movement primitive optimization method that lets robotic ...
Researchers in China have developed an adaptive reinforcement learning algorithm called ASDE that plans drone flight paths to moving charging ...
A new hierarchical framework combining an obstacle-aware A* algorithm, B-spline smoothing, and fuzzy-adaptive dynamic window control lifts mobile robot obstacle ...
Researchers in China have combined game theory with a bioinspired neural network to coordinate drone swarms for faster, more reliable ...
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© 2025 Scienmag - Science Magazine