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Experience using an autonomous humanoid robot as a pedagogical platform in the business classroom at a liberal arts university sheds light on ways to engage learning in the digital age when student attention is easily diverted. Measurable outcomes include: stimulating raw critical thinking, readily applying theory to practice, facilitating non-digital communication, and mediating relationships. Moreover, the robot helps directly engage students in analytical problem solving, structured v. unstructured decision making, and exploring the core functional areas of the firm – all critical to understanding the modern world of business.

[Abstract] This paper addresses the main results obtained during the design and analysis of a cable-driven robot able to simulate the dynamic conditions existing in underwater environment. This work includes the kinematic and dynamic modeling as well as the analysis of the tension of the cables along different trajectories. The low-gravity simulator application is novel in the context of cable-driven robots and it is aimed to be implemented in an underwater humanoid robot. Therefore, this work can be seen as a test case of the complementary research contributions of the group of Robotics and Intelligent Machines at CAR in the recent years. ; The research leading to these results has received funding from the Spanish Government CICYT project Ref. DPI2014-57220-C2-1-P, DPI2013-49527-EXP, the Universidad Politécnica de Madrid project Ref. AL14-PID-15, and the RoboCity2030-III-CM project (Robótica aplicada a la mejora de la calidad de vida de los ciudadanos. Fase III; S2013/MIT-2748), funded by Programas de Actividades I+D en la Comunidad de Madrid and cofunded by Structural Funds of the EU ; Universidad Politécnica de Madrid; AL14-PID-15 ; Comunidad de Madrid; S2013/MIT-2748 ; https://doi.org/10.17979/spudc.9788497498081

In this paper, we present a novel methodology to obtain imitative and innovative postural movements in a humanoid based on human demonstrations in a different kinematic scale. We collected motion data from a group of human participants standing up from a chair. Modeling the human as an actuated 3-link kinematic chain, and by defining a multi-objective reward function of zero moment point and joint torques to represent the stability and effort, we computed reward profiles for each demonstration. Since individual reward profiles show variability across demonstrating trials, the underlying state transition probabilities were modeled using a Markov chain. Based on the argument that the reward profiles of the robot should show the same temporal structure of those of the human, we used differential evolution to compute a trajectory that fits all humanoid constraints and minimizes the difference between the robot reward profile and the predicted profile if the robot imitates the human. Therefore, robotic imitation involves developing a policy that results in a temporal reward structure, matching that of a group of human demonstrators across an array of demonstrations. Skill innovation was achieved by optimizing a signed reward error after imitation was achieved. Experimental results using the humanoid HOAP-3 are shown. ; The research leading to these results has received funding from the ARCADIA project DPI2010-21047-C02-01, funded by CICYT project grant on behalf of Spanish Ministry of Economy and Competitiveness and from the RoboCity2030-II-CM project (S2009/DPI-1559), funded by Programas de Actividades I+D en la Comunidad de Madrid and co-funded by Structural Funds of the EU. ; Publicado

Purpose
– The purpose of this paper is to identify ways teachers might employ a robot to achieve learning objectives with pupils with intellectual disabilities and potential outcome measures.


Design/methodology/approach
– A series of five case studies where teacher-pupil dyads were observed during five planned video-recorded sessions with a humanoid robot. Engagement was rated in a classroom setting and during the last session with the robot. Video recordings were analysed for duration of engagement, teacher assistance and number of goals achieved.


Findings
– Teachers identified a wide range of learning objectives ranging from an appreciation of cause and effect to improving the pupil's sense of direction. The robot's role could be to reward behaviour, provide cues or provide an active element to learning. Rated engagement was significantly higher with the robot than in the classroom.


Research limitations/implications
– A robot with a range of functions that allowed it to be engaging and motivating for the wide range of pupils in special education would be expensive and require teachers to learn how to use it. The findings identify ways to provide evidence that this expenditure of time and money is worthwhile.


Originality/value
– There is almost no research teachers can refer to on using robots to support learning in children with intellectual disabilities. This paper is therefore of value for researchers who wish to investigate using robots to educate children with intellectual disabilities, as it can provide vital information to aid study design.

En este artículo se presenta el desarrollo e implementación de un sistema de captura de movimiento antropomórfico mediante técnicas de visión de máquina basado en el dispositivo Kinect, con el fin de realizar el control de movimiento imitativo de un agente robótico Bioloid en el Grupo de Aplicaciones Virtuales (GAV) del Programa de Ingeniería en Mecatrónica de la Universidad Militar Nueva Granada (UMNG). Dados los múltiples grados de libertad de un brazo humano, se busca simplificar una interfaz de control que permita replicar los movimientos de este en un robot humanoide. En este artículo se presentan las técnicas usadas para mejorar el nivel de precisión de los datos entregados por el Kinect y los métodos personalizados de transmisión y codificación de las órdenes enviadas al robot. Los resultados obtenidos derivan en un sistema que cumple con las exigencias básicas de estabilidad, precisión y velocidad de repuesta en la imitación ; This paper presents the development and implementation of an anthropomorphic motion capture system through machine vision based on the Kinect device in order to achieve the imitative motion control of a Bioloid robotic agent of the GAV research group from the Mecatronics Engineering program at UMNG. We present the techniques used to improve data precision delivered by Kinect, as well as custom methods of transmission and coding of commands sent to the robot. Results derive in a system that meets the basic requirements of stability, accuracy and speed of imitation response

Cover Page -- Title Page -- Copyright Page -- Contents -- Notes on Contributors -- List of Abbreviations -- Acknowledgments -- Editor's Preface -- Part I Boundaries -- Chapter 1 On the Significance of Understanding in Human-Robot Interaction -- Chapter 2 Making Sense of Empathy with Sociable Robots: A New Look at the "Imaginative Perception of Emotion" -- Chapter 3 Robots and the Limits of Morality -- Chapter 4 What's Love Got to Do with It? Robots, Sexuality, and the Arts of Being Human -- Part II Potential

En este proyecto se hace el control de las extremidades superiores de una plataforma robótica humanoide utilizando la técnica de motion retargeting, que redirige los movimientos de un operador humano al androide. El sistema propuesto hace uso del microsoft kinect para reconocer las articulaciones del operador, posteriormente hace un cambio de coordenadas, verificación de los límites de los ángulos permitidos por la plataforma y finalmente se transmiten los movimientos al robot para que 'imite' los movimientos del operador, actualmente el sistema reproduce dos grados de libertad en cada hombro, uno en cada codo y uno en la cintura. Con este proyecto se pueden realizar rutinas de movimientos para la plataforma sin necesidad de marcas especiales y/o cables sobre el operario, y se evitan procedimientos invasivos

Beginning with an introduction to the robot Wakamaru, followed by the origins and current definitions of the word "robot," this essay interrogates the differences between sex and gender in humans and humanoids, with a focus on Japanese robots. I compare the gender technologies employed in the all-male Kabuki theatre, which emerged in the early 1600s, and in the all-female Takarazuka Revue, founded in 1913, and elucidate their influence on the attribution and "performance" of robot gender. I argue that human actors and humanoid robots alike simultaneously call attention to the mutable artifice of gendered identities and recuperate the binary construction of gender, reinforcing in the process heteronormative conventions of being in the world. (Asien/GIGA)

Objective: The current status of human–robot interaction (HRI) is reviewed, and key current research challenges for the human factors community are described. Background: Robots have evolved from continuous human-controlled master–slave servomechanisms for handling nuclear waste to a broad range of robots incorporating artificial intelligence for many applications and under human supervisory control. Methods: This mini-review describes HRI developments in four application areas and what are the challenges for human factors research. Results: In addition to a plethora of research papers, evidence of success is manifest in live demonstrations of robot capability under various forms of human control. Conclusions: HRI is a rapidly evolving field. Specialized robots under human teleoperation have proven successful in hazardous environments and medical application, as have specialized telerobots under human supervisory control for space and repetitive industrial tasks. Research in areas of self-driving cars, intimate collaboration with humans in manipulation tasks, human control of humanoid robots for hazardous environments, and social interaction with robots is at initial stages. The efficacy of humanoid general-purpose robots has yet to be proven. Applications: HRI is now applied in almost all robot tasks, including manufacturing, space, aviation, undersea, surgery, rehabilitation, agriculture, education, package fetch and delivery, policing, and military operations.

In the field of robotics, there is a growing awareness of the importance of benchmarking [1], [2]. Benchmarking not only allows the assessment and comparison of the performance of different technologies but also defines and supports the standardization and regulation processes during their introduction to the market. Its importance has been recently emphasized by the adoption of the technology readiness levels (TRLs) in the Horizon 2020 information and communication technologies by the European Union as an important guideline to assess when a technology can shift from one TRL to the other. The objective of this article is to define the basis of a benchmarking scheme for the assessment of bipedal locomotion that could be applied and shared across different research communities. ; European Commission Seventh Framework Program, and COST

The first industrial robot was set along the production line in Japan in 1969. Through the miracle recovery of the great economic growth in post-war Japan, more robots were developed. Today, we see robots operating in many environments other than indoor assembly lines. Meanwhile, robots truly have come of age as a result of amazing advances in programming (artificial intelligence) and sensor-information technology. In the future, we will find more super-intelligent humanoids coexisting with us, and cities will be structured as robot-friendly environments where not only humanoids but ubiquitous machines of all kinds with built-in computer, sensors, and actuators will enhance and supplement human existence in countless ways.