Tracking an object's 6D pose, while either the object itself or the obse...
State-of-the-art object pose estimation handles multiple instances in a ...
Observational noise, inaccurate segmentation and ambiguity due to symmet...
Assistive multi-armed bandit problems can be used to model team situatio...
Point cloud registration is a common step in many 3D computer vision tas...
While object semantic understanding is essential for most service roboti...
Object pose estimation enables robots to understand and interact with th...
Recent methods for 6D pose estimation of objects assume either textured ...
This article presents a method for grasping novel objects by learning fr...
Object classification with 3D data is an essential component of any scen...
Precise object pose estimation for robotics applications and augmented
r...
Estimating the 6D pose of objects using only RGB images remains challeng...
Developing robot perception systems for recognizing objects in the real-...