Systematic review of affective computing techniques for infant robot interaction

C Filippini, A Merla - International Journal of Social Robotics, 2023 - Springer
Research studies on social robotics and human-robot interaction have gained insights into
factors that influence people's perceptions and behaviors towards robots. However, adults' …

Combined sensing, cognition, learning, and control for developing future neuro-robotics systems: a survey

J Li, Z Li, F Chen, A Bicchi, Y Sun… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Neuro-robotics systems (NRSs) is the current state-of-the-art research with the strategic
alliance of neuroscience and robotics. It endows the next generation of robots with …

A self-verifying cognitive architecture for robust bootstrapping of sensory-motor skills via multipurpose predictors

E Wieser, G Cheng - IEEE Transactions on Cognitive and …, 2018 - ieeexplore.ieee.org
The autonomous acquisition of sensory-motor skills along multiple developmental stages is
one of the current challenges in robotics. To this end, we propose a new developmental …

Social reinforcement in artificial prelinguistic development: a study using intrinsically motivated exploration architectures

JM Acevedo-Valle, VV Hafner… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper introduces an intrinsically motivated sensorimotor exploration architecture which
considers social reinforcement and motor constraint awareness. The main objective is to …

A scalable method for multi-stage developmental learning for reaching

W Burger, E Wieser, E Dean-Leon… - 2017 Joint IEEE …, 2017 - ieeexplore.ieee.org
In this paper, we introduce a technique to learn sensory-motor sequences in multiple
consecutive stages, where one stage bootstraps sequences serving as training data for the …

Developing robot reaching skill with relative-location based approximating

D Luo, M Nie, T Zhang, X Wu - 2018 Joint IEEE 8th …, 2018 - ieeexplore.ieee.org
Robot reaching is a fundamental skill for knowing about the environment through interacting
with objects and completing complex manipulation tasks. The topic has been studied widely …

Self-developing proprioception-based robot internal models

T Zhang, F Hu, Y Deng, M Nie, T Liu, X Wu… - Intelligence Science II …, 2018 - Springer
Research in cognitive science reveals that human central nervous system internally
simulates dynamic behavior of the motor system using internal models (forward model and …

Developing Robot Reaching Skill via Look-ahead Planning

T Liu, M Nie, X Wu, D Luo - 2019 WRC Symposium on …, 2019 - ieeexplore.ieee.org
Reaching is a basic ability of robots and the basis for many complex manipulation tasks. It is
an indispensable ability for robots to enter the human family. Previous methods mostly rely …

Generating basic unit movements with conditional generative adversarial networks

D Luo, M Nie, X Wu - Chinese Journal of Electronics, 2019 - Wiley Online Library
Arm motion control is fundamental for robot accomplishing complicated manipulation tasks.
Different movements can be organized by configuring a series of motion units. Our work …

Autonomous cognitive developmental models of robots-a survey

K Huang, X Ma, G Tian, Y Li - 2017 Chinese Automation …, 2017 - ieeexplore.ieee.org
This article intends to provide an overview of the state of art in developmental models of
cognitive robots. With the development of artificial intelligence, robots have been able to …