This work reports on developing a deep inverse reinforcement learning me...
This paper presents a novel and flexible multi-task multi-layer Bayesian...
This paper reports a new continuous 3D loss function for learning depth ...
WiFi technology has been used pervasively in fine-grained indoor
localiz...
This paper reports on a robust RGB-D SLAM system that performs well in
s...
In this paper, we extend the recently developed continuous visual odomet...
This paper develops a Bayesian continuous 3D semantic occupancy map from...
Image-based fiducial markers are widely used in robotics and computer vi...
An accurate characterization of pose uncertainty is essential for safe
a...
Legged robots require knowledge of pose and velocity in order to maintai...
This paper reports on a novel formulation and evaluation of visual odome...
Autonomous navigation requires an accurate model or map of the environme...
This paper derives a contact-aided inertial navigation observer for a 3D...
The factor graph framework is a convenient modeling technique for roboti...
State-of-the-art robotic perception systems have achieved sufficiently g...
This paper reports on WaterGAN, a generative adversarial network (GAN) f...