Development (of walking): 15 suggestions

KE Adolph, JE Hoch, WG Cole - Trends in Cognitive Sciences, 2018 - cell.com
Although a fundamental goal of developmental science is to identify general processes of
change, developmental scientists rarely generalize beyond their specific content domains …

How do you learn to walk? Thousands of steps and dozens of falls per day

KE Adolph, WG Cole, M Komati… - Psychological …, 2012 - journals.sagepub.com
A century of research on the development of walking has examined periodic gait over a
straight, uniform path. The current study provides the first corpus of natural infant locomotion …

Motor development

KE Adolph, CM Hospodar - Developmental Science, 2024 - api.taylorfrancis.com
DEVELOPMENTAL SCIENCE; An Advanced Textbook; Eighth Edition Page 1 DOI: 10.4324/9781003387145-8
Introduction: The Importance of Motor Development Motor behavior is critical to developmental …

A neuroevolution approach to general atari game playing

M Hausknecht, J Lehman… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper addresses the challenge of learning to play many different video games with little
domain-specific knowledge. Specifically, it introduces a neuroevolution approach to general …

[PDF][PDF] Humanoid robots learning to walk faster: From the real world to simulation and back

A Farchy, S Barrett, P MacAlpine… - Proceedings of the 2013 …, 2013 - cs.utexas.edu
Simulation is often used in research and industry as a low cost, high efficiency alternative to
real model testing. Simulation has also been used to develop and test powerful learning …

Deep reinforcement learning for humanoid robot behaviors

AFV Muzio, MROA Maximo, T Yoneyama - Journal of Intelligent & Robotic …, 2022 - Springer
Abstract RoboCup 3D Soccer Simulation is a robot soccer competition based on a high-
fidelity simulator with autonomous humanoid agents, making it an interesting testbed for …

The cost of simplifying complex developmental phenomena: A new perspective on learning to walk

DK Lee, WG Cole, L Golenia… - Developmental …, 2018 - Wiley Online Library
Researchers can study complex developmental phenomena with all the inherent noise and
complexity or simplify behaviors to hone in on the essential aspects of a phenomenon. We …

Development of a new robust stable walking algorithm for a humanoid robot using deep reinforcement learning with multi-sensor data fusion

Ç Kaymak, A Uçar, C Güzeliş - Electronics, 2023 - mdpi.com
The difficult task of creating reliable mobility for humanoid robots has been studied for
decades. Even though several different walking strategies have been put forth and walking …

Overlap** layered learning

P MacAlpine, P Stone - Artificial Intelligence, 2018 - Elsevier
Layered learning is a hierarchical machine learning paradigm that enables learning of
complex behaviors by incrementally learning a series of sub-behaviors. A key feature of …

Robust biped locomotion using deep reinforcement learning on top of an analytical control approach

M Kasaei, M Abreu, N Lau, A Pereira… - Robotics and Autonomous …, 2021 - Elsevier
This paper proposes a modular framework to generate robust biped locomotion using a tight
coupling between an analytical walking approach and deep reinforcement learning. This …