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title: ICRA, IEEE International Conference on Robotics and Automation, 2006
Designing worm-inspired neural networks for interpretable robotic control ; ICRA
Stance control inspired by cerebellum stabilizes reflex-based locomotion on HyQ robot
Real-time Robot-assisted Ergonomics
Deep Reinforcement Learning for Concentric Tube Robot Control with a Goal-Based Curriculum
Adversarial training is not ready for robot learning
Sample-efficient robot motion learning using Gaussian process latent variable models
Mobile Robot Localization using Panoramic Vision and Combinations of Feature Region Detectors
Analytic formulation of the kinestatic of robot manipulators with arbitrary topology
Selection of image features for robot positioning using mutual information
Using laser and vision to locate a robot in an industrial environment: A practical experience
On redundant flagged manipulators
Variable Stiffness Links VSL - Toward Inherently Safe Robotic Manipulators
Haptic intention augmentation for cooperative teleoperation
Design and Analysis of a Wire-driven Flexible Manipulator for Bronchoscopic Interventions
Co-fusion: Real-time segmentation, tracking and fusion of multiple objects