The Robotics Major at the University of Michigan was successfully launch...
Transparent objects present multiple distinct challenges to visual perce...
Particle filtering is a common technique for six degree of freedom (6D) ...
Recent advances in robotic mobile manipulation have spurred the expansio...
We present a differentiable approach to learn the probabilistic factors ...
For robots to successfully execute tasks assigned to them, they must be
...
Articulated objects pose a unique challenge for robotic perception and
m...
Transparent objects present multiple distinct challenges to visual perce...
Benefiting from language flexibility and compositionality, humans natura...
Transparent objects are ubiquitous in household settings and pose distin...
Visual perception tasks often require vast amounts of labelled data,
inc...
For autonomous service robots to successfully perform long horizon tasks...
We aim for domestic robots to operate indoor for long-term service. Unde...
We present a new technique that enables manifold learning to accurately ...
We present a differentiable approach to learn the probabilistic factors ...
Robotics has the potential to magnify the skilled workforce of the natio...
The history of AI has included several "waves" of ideas. The first wave,...
Recent advances in computational perception have significantly improved ...
In order to enable robust operation in unstructured environments, robots...
Robots working in human environments must be able to perceive and act on...
We aim for mobile robots to function in a variety of common human
enviro...
We propose GeoFusion, a SLAM-based scene estimation method for building ...
In this paper, we present an easy to use sketch-based interface to extra...
Transparent objects are prevalent across many environments of interest f...
Recent advancements have led to a proliferation of machine learning syst...
Robots working in human environments often encounter a wide range of
art...
We present a filtering-based method for semantic mapping to simultaneous...
Perception is the main bottleneck to perform autonomous mobile manipulat...
We present a "pull" approach to approximate products of Gaussian mixture...
In order to fully function in human environments, robot perception will ...