3 papers
cs.RO2026
Do World Action Models Generalize Better than VLAs? A Robustness Study
Zhanguang Zhang, Zhiyuan Li, Behnam Rahmati +11
Robot action planning in the real world is challenging as it requires not only understanding the current state of the environment but also predicting how it will evolve in response…
cs.CV2025
Box6D : Zero-shot Category-level 6D Pose Estimation of Warehouse Boxes
Yintao Ma, Sajjad Pakdamansavoji, Amir Rasouli +1
Accurate and efficient 6D pose estimation of novel objects under clutter and occlusion is critical for robotic manipulation across warehouse automation, bin picking, logistics, and…
cs.CV2025
WALDO: Where Unseen Model-based 6D Pose Estimation Meets Occlusion
Sajjad Pakdamansavoji, Yintao Ma, Amir Rasouli +1
Accurate 6D object pose estimation is vital for robotics, augmented reality, and scene understanding. For seen objects, high accuracy is often attainable via per-object fine-tuning…