Distributed semantic mapping for heterogeneous robotic teams
Kronecker-Factored Optimal Curvature
The Probabilistic Robot Kinematics Model and Its Application to Sensor Fusion
Datasets and Benchmarking of a path planning pipeline for planetary rovers
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
An ORB-SLAM3-based Approach for Surgical Navigation in Ureteroscopy
A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking
Unknown Object Segmentation from Stereo Images