Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots

OM Omisore, S Han, L Ren, A Elazab, L Hui… - Neural Networks, 2018 - Elsevier
Recently, snake-like robots are proposed to assist experts during medical procedures on
internal organs via natural orifices. Despite their well-spelt advantages, applications in …

Robotic visual perception system

SE Chelian, RN Sundareswara, H Hoffmann - US Patent 9,002,098, 2015 - Google Patents
Described is a robotic visual perception system for determining a position and pose of a
three-dimensional object. The system receives an external input to select an object of …

Fronto-parietal mirror neuron system modeling: visuospatial transformations support imitation learning independently of imitator perspective

H Oh, AR Braun, JA Reggia, RJ Gentili - Human Movement Science, 2019 - Elsevier
Although the human mirror neuron system (MNS) is critical for action observation and
imitation, most MNS investigations overlook the visuospatial transformation processes that …

Cognitive models of the perception-action cycle: A view from the brain

V Cutsuridis - The 2013 International Joint Conference on …, 2013 - ieeexplore.ieee.org
Perception-action cycle is the circular flow of information that takes place between an
organism and its environment in the course of a sensory-guided sequence of actions …

Ant Colony Optimization and image model-based robot manipulator system for pick-and-place tasks

CC Wong, HM Feng, YC Lai… - Journal of Intelligent & …, 2019 - content.iospress.com
A visual servo control system combines with the model-based image segmentation and an
Ant Colony Optimization (ACO) algorithm to design an excellent six-Degree-of-Freedom (6 …

A modular dynamic sensorimotor model for affordances learning, sequences planning, and tool-use

R Braud, A Pitti, P Gaussier - IEEE Transactions on Cognitive …, 2017 - ieeexplore.ieee.org
This paper proposes a computational model for learning robot control and sequence
planning based on the ideomotor principle. This model encodes covariation laws between …

Human-robotic collaborative intelligent control for reaching performance

RJ Gentili, H Oh, IM Shuggi, RN Goodman… - … AC 2013, Held as Part of …, 2013 - Springer
In most human-robot interfaces, the user completely controls the robot that operates as a
passive tool without adaptation capabilities. However, a synergetic human-robot interface …

A cortically-inspired model for inverse kinematics computation of a humanoid finger with mechanically coupled joints

RJ Gentili, H Oh, AV Kregling… - Bioinspiration & …, 2016 - iopscience.iop.org
The human hand's versatility allows for robust and flexible grasping. To obtain such
efficiency, many robotic hands include human biomechanical features such as fingers …

[PDF][PDF] Comparison of absolute and relative learning strategies to encode sensorimotor transformations in tool-use

R Braud, A Pitti, P Gaussier - researchgate.net
We explore different strategies to overcome the problem of sensorimotor transformation that
babies face during development, especially in the case of tool-use. From a developmental …

Apprentissage Incrémental de Règles Sensorimotrices dans un Robot, du Babillage Moteur à l'Utilisation d'Outils

R Braud - 2017 - hal.science
Ma thèse porte sur l'intégration développementale de différents systèmes d'apprentissage
dans un robot, du babillage moteur à l'émergence de l'utilisation d'outils. L'utilisation d'outils …