Recurrent neural network-based reinforcement learning systems are capabl...
Humans have the remarkable ability to navigate through unfamiliar
enviro...
The nonlinear and stochastic relationship between noise covariance param...
In this paper, we provide an early look at our model for generating terr...
In many robotics problems, there is a significant gain in collaborative
...
We survey the current state of millimeterwave (mmWave) radar application...
Typical algorithms for point cloud registration such as Iterative Closes...
While the capabilities of autonomous systems have been steadily improvin...
This paper reports on the state of the art in underground SLAM by discus...
Artificial intelligence has undergone immense growth and maturation in r...
Millimeter wave radar is becoming increasingly popular as a sensing moda...
Training networks to perform metric relocalization traditionally require...
Multi-robot cooperation requires agents to make decisions that are consi...
Many modern simultaneous localization and mapping (SLAM) techniques rely...
Robot capabilities are maturing across domains, from self-driving cars, ...
We consider solving a cooperative multi-robot object manipulation task u...
Many state estimation algorithms must be tuned given the state space pro...
We propose a solution for sensor extrinsic self-calibration with very lo...
Determining extrinsic calibration parameters is a necessity in any robot...
Kalman filters are routinely used for many data fusion applications incl...
We present an approach to path following using so-called control funnel
...
When registering point clouds resolved from an underlying 2-D pixel
stru...
We posit that embodied artificial intelligence is not only a computation...
We present a novel algorithm for light source estimation in scenes
recon...