scholarly journals Real-world embodied AI through a morphologically adaptive quadruped robot

Author(s):  
Tønnes F. Nygaard ◽  
Charles P. Martin ◽  
Jim Torresen ◽  
Kyrre Glette ◽  
David Howard
Keyword(s):  
2019 ◽  
Vol 18 (3) ◽  
pp. 97-102
Author(s):  
Syed Irfan Ali Meerza ◽  
Mohammad Mohiuddin Uzzal

In the realm of the living creature human and animals create their body schema by the learning they gather while they interact with the real world. They can also remodel the schema if they have any uncertain changes in their body. This kind of robustness is still not achieved by any machine or artificial system. Researchers are trying to build the machines resilient so that machines can explore the unknown space. In this paper, we used Particle Swarm Optimization (PSO) which a population based algorithm to allow a quadruped robot to learn its body schema using a gyroscopic sensor and real world interaction. We added Q- Value based learning (Q-Learning),s an actor-critic scheme to aid PSO to learn faster and avoid being trap in local optima. Robot creates an imaginary model of its own body which include imaginary gaits using a very little prior knowledge. The robot aims to use the gaits to achieve stability and predictive movements. I can also detect changes in its body and adopt the changes, which leads to a damage diagnosis system. We tested the algorithm using graphics simulator and verified using a 3D printed quadruped robot with 12 actuators.


2021 ◽  
Vol 2021 (2) ◽  
pp. 4348-4355
Author(s):  
ROBERT PASTOR ◽  
◽  
ZDENKO BOBOVSKY ◽  
PETR OSCADAL ◽  
JAKUB MESICEK ◽  
...  

Robots that have been optimized in simulation often underperform in the real world in comparison to their simulated counterparts. This difference in performance is often called a reality-gap. In this paper, we use two methods, genetic algorithm and topology optimization, to optimize a quadruped robot. We look at the original and optimized robots’ performance in simulation and reality and compare the results. Both methods show improvement in the robot’s efficiency, however the topology optimization behaves in a more predictable manner and shows similar results in simulation and in real laboratory testing. Modifying robot morphology with a genetic algorithm, although less predictable, has a potential for more improvement in efficiency.


2018 ◽  
Vol 41 ◽  
Author(s):  
Michał Białek

AbstractIf we want psychological science to have a meaningful real-world impact, it has to be trusted by the public. Scientific progress is noisy; accordingly, replications sometimes fail even for true findings. We need to communicate the acceptability of uncertainty to the public and our peers, to prevent psychology from being perceived as having nothing to say about reality.


2010 ◽  
Vol 20 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Anne K. Bothe

This article presents some streamlined and intentionally oversimplified ideas about educating future communication disorders professionals to use some of the most basic principles of evidence-based practice. Working from a popular five-step approach, modifications are suggested that may make the ideas more accessible, and therefore more useful, for university faculty, other supervisors, and future professionals in speech-language pathology, audiology, and related fields.


2015 ◽  
Vol 25 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Jennifer Tetnowski

Qualitative case study research can be a valuable tool for answering complex, real-world questions. This method is often misunderstood or neglected due to a lack of understanding by researchers and reviewers. This tutorial defines the characteristics of qualitative case study research and its application to a broader understanding of stuttering that cannot be defined through other methodologies. This article will describe ways that data can be collected and analyzed.


2006 ◽  
Vol 40 (7) ◽  
pp. 47
Author(s):  
LEE SAVIO BEERS
Keyword(s):  

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