Vision-based and IMU-aided scale factor-free linear velocity estimator
Range-only SLAM for robot-sensor network cooperation
A kernel-based approach to learning contact distributions for robot manipulation tasks
Environment model adaptation for mobile robot exploration
Cooperative multi-robot belief space planning for autonomous navigation in unknown environments
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
Gaussian processes autonomous mapping and exploration for range-sensing mobile robots
Monte Carlo planning for active object classification
Robust trajectory optimization under frictional contact with iterative learning
Behavioral control of unmanned aerial vehicle manipulator systems
Learning modular and transferable forward models of the motions of push manipulated objects
Underwater map-based localization using flow features