A kernel-based approach to learning contact distributions for robot manipulation tasks
Cooperative multi-robot belief space planning for autonomous navigation in unknown environments
Distributed information-based guidance of multiple mobile sensors for urban target search
Receding horizon path planning for 3D exploration and surface inspection
Topological map construction and scene recognition for vehicle localization
Edge alignment-based visual–inertial fusion for tracking of aggressive motions
Relative motion estimation using visual–inertial optical flow
Contour-based next-best view planning from point cloud segmentation of unknown objects
Learning task manifolds for constrained object manipulation
Near-optimal probabilistic search using spatial Fourier sparse set
Chance-constrained target tracking using sensors with bounded fan-shaped sensing regions
Improving object orientation estimates by considering multiple viewpoints
Autonomous robotic exploration using a utility function based on Rényi’s general theory of entropy