Combined computational systems biology and computational neuroscience approaches help develop of future “cognitive developmental robotics”

F Faghihi, AA Moustafa - Frontiers in neurorobotics, 2017 - frontiersin.org
Understanding cognitive functions and mechanisms of development in animals is essential
for the future generation of more intelligent systems (Hirel et al., 2011; Hassabis et al., 2017) …

[PDF][PDF] Developmental robots: Theory, method and experimental results

J Weng, WS Hwang, Y Zhang, C Evans - Proc. 2nd International …, 1999 - academia.edu
It is very challenging for humans to program a humanoid robot to act properly in human
environment. Humans have a fundamental limitation in constructing an adequate model for …

Multiform adaptive robot skill learning from humans

L Zhao, R Lawhorn, S Patil… - Dynamic …, 2017 - asmedigitalcollection.asme.org
Object manipulation is a basic element in everyday human lives. Robotic manipulation has
progressed from maneuvering single-rigid-body objects with firm grasping to maneuvering …

Goal-directed autonomous navigation of mobile robot based on the principle of neuromodulation

D Wang, W Si, Y Luo, H Wang, T Ma - Network: Computation in …, 2019 - Taylor & Francis
Autonomous navigation in dynamic environment is aprerequisite of the mobile robot to
perform tasks, and numerous approaches have been presented, including the supervised …

Learn to Coordinate: a Whole-Body Learning from Demonstration Framework for Differential Drive Mobile Manipulators

Y Yang, D Huang, C Chen, C Zeng… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
This paper proposes a whole-body learning from demonstration (LfD) framework that
enables differential drive mobile manipulators to learn coordination working and disturbance …

Robotic skills learning based on dynamical movement primitives using a wearable device

X Wei, F Sun, Y Yu, C Liu, B Fang… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
It is an effective way for the robots to learn operation skills from the humans. In this paper, we
realize a skill learning system based on a teleportation system for transferring the human …

[PDF][PDF] Attention mechanisms for the imitation of goal-directed action in developmental robots

I Goga, A Billard - Short paper accepted at the 6th International …, 2006 - infoscience.epfl.ch
Imitation is a powerful mechanism for social learning and it has received in the last decade,
a great deal of interest from researchers in robotics (see Billard and Dillman, 2006). In order …

Learning synergies based in‐hand manipulation with reward shaping

Z Deng, JW Zhang - CAAI Transactions on Intelligence …, 2020 - Wiley Online Library
In‐hand manipulation is a fundamental ability for multi‐fingered robotic hands that interact
with their environments. Owing to the high dimensionality of robotic hands and intermittent …

Dynamic movement primitives and reinforcement learning for adapting a learned skill

J Lundell - 2016 - aaltodoc.aalto.fi
Traditionally robots have been preprogrammed to execute specific tasks. This approach
works well in industrial settings where robots have to execute highly accurate movements …

Skill Learning for Intelligent Robot by Perception‐Action Integration: A View from Hierarchical Temporal Memory

X Zhang, J Zhang, J Zhong - Complexity, 2017 - Wiley Online Library
Skill learning autonomously through interactions with the environment is a crucial ability for
intelligent robot. A perception‐action integration or sensorimotor cycle, as an important issue …