3 papers
cs.RO2025
CAPE: Context-Aware Diffusion Policy Via Proximal Mode Expansion for Collision Avoidance
Rui Heng Yang, Xuan Zhao, Leo Maxime Brunswic +5
In robotics, diffusion models can capture multi-modal trajectories from demonstrations, making them a transformative approach in imitation learning. However, achieving optimal perf…
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…