Development (of walking): 15 suggestions
Although a fundamental goal of developmental science is to identify general processes of
change, developmental scientists rarely generalize beyond their specific content domains …
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 …
straight, uniform path. The current study provides the first corpus of natural infant locomotion …
Motor development
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 …
Introduction: The Importance of Motor Development Motor behavior is critical to developmental …
A neuroevolution approach to general atari game playing
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 …
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
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 …
real model testing. Simulation has also been used to develop and test powerful learning …
Deep reinforcement learning for humanoid robot behaviors
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 …
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 …
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
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 …
decades. Even though several different walking strategies have been put forth and walking …
Overlap** layered learning
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 …
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
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 …
coupling between an analytical walking approach and deep reinforcement learning. This …