Logga in
insikt - Multiagent Trajectory Planning
PRIMER: A Fast Imitation Learning-Based Multiagent Trajectory Planner for Robots with Limited Perception in Uncertain Environments
PRIMER leverages imitation learning to achieve near-optimal and computationally efficient multiagent trajectory planning for robots with limited perception in uncertain environments, addressing the limitations of traditional optimization-based methods.
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
Ein vollständig dezentralisierter, mehragentenfähiger Trajektorienplaner mit Echtzeit-Bildsegmentierungsbasiertem Rahmenausrichtungssystem.
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
論文は、完全に分散化された不確実性を認識するマルチエージェント軌道プランナーとリアルタイムの画像セグメンテーションベースのフレームアライメントパイプラインを紹介しています。
PUMA: Decentralized Multiagent Trajectory Planner with Image Segmentation-based Frame Alignment
The author presents a decentralized multiagent trajectory planner that integrates image segmentation for frame alignment to ensure safe navigation in unknown environments.
Produkter
© 2024 by Linnk AI