Estimation of circular quantities is a widespread problem that occurs in many tracking and
control applications. Commonly used approaches such as the Kalman filter, the extended …

Eye-in-hand camera calibration is a fundamental and long-studied problem in robotics. We
present a study on using learning-based methods for solving this problem online from a …

Many applications in robotics such as registration, object tracking, sensor calibration, etc.
use Kalman filters to estimate a time invariant SE (3) element by locally linearizing a non …

We consider estimating the hidden state of a discretetime stochastic nonlinear dynamic
system based on noisy measurements through Bayesian inference. This is an important …

Pose estimation is central to several robotics applications such as registration, hand–eye
calibration, and simultaneous localization and map** (SLAM). Online pose estimation …

Pose estimation is central to several robotics applications such as registration, hand-eye
calibration, SLAM, etc. Online pose estimation methods typically use Gaussian distributions …

Even though there is promising technological progress, input is currently still one of virtual
reality's biggest issues. Off-the-shelf depth cameras have the potential to resolve these …

In robotic beating heart surgery, a remote-controlled robot can be used to carry out the
operation while automatically canceling out the heart motion. The surgeon controlling the …

We discuss theory and application of extended object tracking. This task is challenging as
sensor noise prevents a correct association of the measurements to their sources on the …

In this paper, we propose a novel algorithm for automatically calibrating a network of depth
sensors, based on a moving calibration object. The sensors may have non-overlap** …