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EAGER/Collaborative Research: Center-of-Mass Control for Expressive and Effective Movement in Bipedal Robots

EAGER/Collaborative Research: Center-of-Mass Control for Expressive and Effective Movement in Bipedal Robots
EAGER/协作研究:双足机器人富有表现力和有效运动的质心控制
批准号:
1701295
负责人:
Amy LaViers
金额:
$13.65万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2018-07-31

项目摘要

项目成果

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中文摘要
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英文摘要
This EArly-concept Grant for Exploratory Research (EAGER) collaborative project will apply insights from the study of human athletes and dancers to enable similarly effective and expressive movement in humanoid robots. The objective is to create the capability for such movement without duplicating the full complexity and articulation of the human torso. Specifically, the project will implement a novel mechanism for shifting a heavy mass that shifts the robot center of mass independently of limb movements using novel muscle-like actuators, and evaluate the results based on a formal system of movement analysis developed for dance, athletics, and physical therapy. In addition to improving the robot's effectiveness at accomplishing locomotion, i.e., a walking gait, these capabilities will provide new channels for communication between robots and humans, i.e., modulating the style of the walking gait. Humans make unconscious inferences about attitude and intent from observing movement. For example, a robot co-worker will be more effective if its movements communicate trustworthiness and competence to its human partners, and a robot first-responder will be more effective if its movements communicate confidence and leadership during an emergency situation. This project incorporates the interplay of art and technology into outreach activities, such as using dance movements to understand fundamentals of robot locomotion. This project takes a novel approach to generating dynamic walking in a humanoid robot, by exploiting the dynamics of a novel, core-located rolling ball-and-tray actuation mechanism arising from exploration of embodied movement theory. The impedance of the actuator is varied in real time, modulating the robot dynamics to produce qualitatively different excitations. The focus of the project is on controlling the expressive character of robot gait, with explicit comparison to human movement. The goals of the project are to explore the role of center-of-mass control in human walking and to demonstrate the feasibility of the approach for bipedal robotic walking through modeling, simulation, and an initial prototype. The work will model and validate the ball-and-tray actuator via a set of motion primitives designed in accordance with Bartenieff Fundamentals, a formal system of movement analysis. The research team brings together experts in movement science, dynamic walking, and muscle-like actuation. In addition to improving robot performance, this work has the potential to increase the bandwidth of robot-human communications. Expressive movement can convey many different emotional contexts, including urgency, calm, enthusiasm, confidence, et cetera. The ability to engineer these contexts into robot movement has many potential applications in human facing scenarios.
期刊论文(2)
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会议论文
DOI: 10.3390/arts7020011
发表时间: 2017-12
期刊: ArXiv
影响因子: --
作者: [A. LaViers;Catie Cuan;Madison Heimerdinger;Umer Huzaifa;Catherine Maguire;R. McNish;Alexandra Q. Nilles;I. Pakrasi;Karen Bradley;Kim Brooks Mata;Novoneel Chakraborty;I. Vidrin;Alexander Zurawski]
通讯作者: A. LaViers;Catie Cuan;Madison Heimerdinger;Umer Huzaifa;Catherine Maguire;R. McNish;Alexandra Q. Nilles;I. Pakrasi;Karen Bradley;Kim Brooks Mata;Novoneel Chakraborty;I. Vidrin;Alexander Zurawski
Influence of Environmental Context on Recognition Rates of Stylized Walking Sequences
环境背景对风格化步行序列识别率的影响
DOI: 10.1007/978-3-319-70022-9_27
发表时间: 2017
期刊: Social Robotics. ICSR 2017. Lecture Notes in Computer Science
影响因子: --
作者: [Heimerdinger, Madison, LaViers, Amy]
通讯作者: LaViers, Amy
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