首页|Reports from University of Illinois Highlight Recent Findings in Androids (Dynam ic Mobile Manipulation Via Whole-body Bilateral Teleoperation of a Wheeled Human oid)

Reports from University of Illinois Highlight Recent Findings in Androids (Dynam ic Mobile Manipulation Via Whole-body Bilateral Teleoperation of a Wheeled Human oid)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics - Androids. According to news originating from Champaign, Illinois, by NewsRx correspondents, research stated, "Humanoid robots have the potential to h elp human workers by realizing physically demanding manipulation tasks such as m oving large boxes within warehouses. We define such tasks as Dynamic Mobile Mani pulation (DMM)." Financial support for this research came from National Science Foundation (NSF). Our news journalists obtained a quote from the research from the University of I llinois, "This letter presents a framework for DMM via whole-body teleoperation, built upon three key contributions: Firstly, a teleoperation framework employin g a Human Machine Interface (HMI) and a bi-wheeled humanoid, SATYRR, is proposed . Secondly, the study introduces a dynamic locomotion mapping, utilizing human-r obot reduced order models, and a kinematic retargeting strategy for manipulation tasks. Additionally, the letter discusses the role of whole-body haptic feedbac k for wheeled humanoid control. Finally, the system's effectiveness and mappings for DMM are validated through locomanipulation experiments and heavy box pushin g tasks. Here we show two forms of DMM: grasping a target moving at an average s peed of 0.4 m/s, and pushing boxes weighing up to 105% of the robo t's weight."

ChampaignIllinoisUnited StatesNort h and Central AmericaAndroidsEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Illinois

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.3)