Effect regulated projection of robot's action space for production and prediction of manipulation primitives through learning progress and predictability-based …

S Bugur, E Oztop, Y Nagai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, we propose an effective action parameter exploration mechanism that enables
efficient discovery of robot actions through interacting with objects in a simulated table-top …

Cognitive developmental grasp robots: From infant development to computational modeling

MS Li, MH Yao - Advanced Materials Research, 2013 - Trans Tech Publ
We addressed the idea that a hybrid of symbolic and sub-symbolic representations is the
best method to represent cognition for developmental robots. Basing the learning …

A computational developmental model of perceptual learning for mobile robot

D Wang, K Yang, J Xin - IEEE Transactions on Cognitive and …, 2021 - ieeexplore.ieee.org
During the perceptual learning (PL) of a mobile robot, how to improve the efficiency of its
behavior decision is a great challenge. The existing methods suffer from the less flexibility …

Babybot: a biologically inspired developing robotic agent

G Metta, FM Panerai, G Sandini - Sensor Fusion and …, 2000 - spiedigitallibrary.org
The study of development, either artificial or biological, can highlight the mechanisms
underlying learning and adaptive behavior. We shall argue whether developmental studies …

[PDF][PDF] Development of Infant Robot with Musculoskeletal and Skin System

K Narioka, S Moriyama, K Hosoda - 3rd International Conference …, 2011 - researchgate.net
We have developed a musculoskeletal infant robot driven by pneumatic actuators in order to
clarify the role of embodiment, especially of the musculoskeletal and skin system, in the …

Staged competence learning in developmental robotics

MH Lee, Q Meng, F Chao - Adaptive Behavior, 2007 - journals.sagepub.com
Developmental psychology has long recognized the presence of stages in human cognitive
development, although the underlying causes and processes are still an open question and …

Humanoid robots object grasping and manipulation learning by demonstration

H Ahmad, X Yao, M Muddassir… - 2017 3rd International …, 2017 - ieeexplore.ieee.org
Humanoid Robots are used in many scientific research areas ranging from household
applications to disposing a bomb in hazardous environments. In the past, robots are …

Learning from wearable-based teleoperation demonstration

B Fang, F Sun, H Liu, C Liu, D Guo, B Fang… - … Technology for Robotic …, 2020 - Springer
In order to effectively transfer human's manipulation skills to a robot, in this chapter, we
investigate skill-learning functions via our proposed wearable device. The robotic …

Interplay of rhythmic and discrete manipulation movements during development: A policy-search reinforcement-learning robot model

VC Meola, D Caligiore, V Sperati, L Zollo… - … on Cognitive and …, 2015 - ieeexplore.ieee.org
The flexibility of human motor behavior strongly relies on rhythmic and discrete movements.
Developmental psychology has shown how these movements closely interplay during …

A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators

J Zhao, F Tassi, Y Huang, E De Momi… - arXiv preprint arXiv …, 2024 - arxiv.org
Humans' ability to smoothly switch between locomotion and manipulation is a remarkable
feature of sensorimotor coordination. Leaning and replication of such human-like strategies …