2 papers
cs.CV2025
From Observation to Action: Latent Action-based Primitive Segmentation for VLA Pre-training in Industrial Settings
Jiajie Zhang, Sören Schwertfeger, Alexander Kleiner
We present a novel unsupervised framework to unlock vast unlabeled human demonstration data from continuous industrial video streams for Vision-Language-Action (VLA) model pre-trai…
cs.RO2023
Receding Horizon Re-ordering of Multi-Agent Execution Schedules
Alexander Berndt, Niels van Duijkeren, Luigi Palmieri +2
The trajectory planning for a fleet of Automated Guided Vehicles (AGVs) on a roadmap is commonly referred to as the Multi-Agent Path Finding (MAPF) problem, the solution to which d…