40 citations · 59 across the 7 of their papers we have counts for
3 papers · 1 filter
Not All Actions Are Created Equal: Bayesian Optimal Experimental Design for Safe and Optimal Nonlinear System Identification
Parker Ewen, Gitesh Gunjal, Joey Wilson +3
Uncertainty in state or model parameters is common in robotics and typically handled by acquiring system measurements that yield information about the uncertain quantities of inter…
Convolutional Bayesian Kernel Inference for 3D Semantic Mapping
Joey Wilson, Yuewei Fu, Arthur Zhang +5
Robotic perception is currently at a cross-roads between modern methods, which operate in an efficient latent space, and classical methods, which are mathematically founded and pro…
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
Aishwarya Unnikrishnan, Joey Wilson, Lu Gan +4
This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model. Existence of dynamic objects in…