Trajectory Plan

Trajectory planning focuses on generating optimal paths for robots and autonomous agents, prioritizing factors like speed, safety, and efficiency in diverse environments. Current research emphasizes developing algorithms that handle uncertainty (e.g., using belief roadmaps and latent space models), manage multi-agent coordination (e.g., through time-optimal path parameterization), and adapt to complex dynamics (e.g., via Bayesian optimization and gradient descent methods). These advancements are crucial for improving the reliability and performance of robots in various applications, from warehouse automation to search and rescue operations.