Tag: trajectory optimization

Researchers at KTH Royal Institute of Technology show that geometry-aware normalization lets simple neural networks rapidly approximate Lambert transfer solutions ...

A comprehensive new review traces how diffusion models, the generative engines behind modern image synthesis, have become the dominant force ...

Researchers have combined conflict-based search with model predictive control to let four autonomous magnetic movers plan and execute collision-free paths ...

Researchers in China have developed VDDM, a framework combining dynamic virtual machine partitioning, matching theory, and deep reinforcement learning to ...

Researchers have trained a Gaussian process surrogate model that screens thousands of Kuiper Belt Objects for mission accessibility in seconds, ...

Researchers at Beihang University have developed a fuzzy-based adaptive kinodynamic RRT* path-planning algorithm that lets fixed-wing aircraft plan physically feasible ...

A Northwestern Polytechnical University team has combined goal-biased RRT search with sequential convex programming to plan smooth, constraint-satisfying inspection trajectories ...

MIT researchers have developed HardFlow, a plug-and-play algorithm that lets pretrained generative AI models satisfy strict safety and physical constraints ...

Researchers at Inha University have developed a real-time trajectory optimization and onboard replanning framework that lets a solid-propellant lunar lander ...

Researchers have developed a hybrid AI method that combines artificial potential field guidance with an LSTM-enhanced Soft Actor–Critic algorithm to ...