NRI: FND: Rapid Operator Awareness via Mobile Robotics (ROAMR), Customizable Human Safety using Mobile and Wearable Co-Robots
NRI:FND:通过移动机器人 (ROAMR) 实现快速操作员意识,使用移动和可穿戴协作机器人实现可定制的人类安全
基本信息
- 批准号:1830498
- 负责人:
- 金额:$ 49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Human operators in construction sites, disaster zones, and other rapidly changing environments risk injury from collisions with moving machinery and falling components. The risk of collisions can reduce human performance by forcing them to work very slowly and keep track of multiple situations simultaneously. This project aims to explore how teams of co-robots can improve human safety by detecting potential collisions that the humans may not be aware of, alerting them to the danger, and helping them move away from the danger. The project will develop methods for communicating potential threats to human operators via a human-worn exoskeleton, which can also assist the people in moving to safety as rapidly as possible.The approach will augment human awareness, performance, and safety in unstructured, outdoor, and varying environments, where dynamic objects pose threats of imminent, unnoticed collision. Specifically, the project will develop a new safety architecture where mobile systems rapidly detect collisions and plan a safe response, a wearable exoskeleton communicates the situation to the human, and the exoskeleton helps to achieve a safe response. The project will focus on 1) developing and characterizing a physical "language" for wearable co-robots to provide situational awareness based on visual displays, audio guidance, vibro-tactile sensations, and physical signals from the exoskeleton actuators; 2) investigating how wearable sensing can infer human motions using machine learning to predict human behavior by accounting for automated obstacle avoidance plans, human motion strategies, and measurements of joint kinematics, ground contact forces, and muscle activation; and 3) researching how a wearable exoskeleton can accelerate safe responses in real-time by using targeted exoskeleton torques to enhance propulsive forces and increase speed of response by reducing the apparent inertia of the limbs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在建筑工地、灾区和其他快速变化的环境中,操作人员可能会因与移动机械和坠落部件的碰撞而受伤。 碰撞的风险可能会降低人类的表现,迫使他们非常缓慢地工作,并同时跟踪多种情况。 该项目旨在探索协作机器人团队如何通过检测人类可能没有意识到的潜在碰撞来提高人类安全,提醒他们注意危险,并帮助他们远离危险。 该项目将开发通过人体穿戴的外骨骼向人类操作员传达潜在威胁的方法,该方法还可以帮助人们尽快转移到安全地带。该方法将增强人类在非结构化、户外和变化环境中的意识、性能和安全性,其中动态物体构成迫在眉睫的、未被注意的碰撞威胁。 具体而言,该项目将开发一种新的安全架构,其中移动的系统快速检测碰撞并计划安全响应,可穿戴外骨骼将情况传达给人类,外骨骼有助于实现安全响应。 该项目将专注于1)开发和表征可穿戴合作机器人的物理“语言”,以基于视觉显示,音频指导,振动触觉和来自外骨骼执行器的物理信号提供态势感知; 2)研究可穿戴传感如何使用机器学习来推断人类运动,通过考虑自动避障计划,人类运动策略,以及关节运动学、地面接触力和肌肉激活的测量;以及3)研究可穿戴外骨骼如何在真实的环境中加速安全响应-该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Enhancing Physical Human Evasion of Moving Threats Using Tactile Cues
- DOI:10.1109/toh.2019.2962664
- 发表时间:2019-12
- 期刊:
- 影响因子:2.9
- 作者:Aakash Bajpai;Justine C. Powell;Aaron J. Young;A. Mazumdar
- 通讯作者:Aakash Bajpai;Justine C. Powell;Aaron J. Young;A. Mazumdar
Influencing Human Escape Maneuvers With Perceptual Cues in the Presence of a Visual Task
在存在视觉任务的情况下通过感知线索影响人类逃生策略
- DOI:10.1109/thms.2021.3108962
- 发表时间:2021
- 期刊:
- 影响因子:3.6
- 作者:Bajpai, Aakash;Feigh, Karen M.;Mazumdar, Anirban;Young, Aaron J.
- 通讯作者:Young, Aaron J.
Design of an Intent Recognition System for Dynamic, Rapid Motions in Unstructured Environments
- DOI:10.1115/1.4051140
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:Pooja Moolchandani;A. Mazumdar;Aaron J. Young
- 通讯作者:Pooja Moolchandani;A. Mazumdar;Aaron J. Young
Design and Validation of a Versatile High Torque Quasidirect Drive Hip Exoskeleton
- DOI:10.1109/tmech.2023.3334795
- 发表时间:2024-02
- 期刊:
- 影响因子:0
- 作者:Aakash Bajpai;Carlos Carrasquillo;Jessica Carlson;Julian Park;Divya Iyengar;Kinsey R. Herrin;Aaron J. Young;A. Mazumdar
- 通讯作者:Aakash Bajpai;Carlos Carrasquillo;Jessica Carlson;Julian Park;Divya Iyengar;Kinsey R. Herrin;Aaron J. Young;A. Mazumdar
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Anirban Mazumdar其他文献
Assessing prevalence and predictors of depression in Type 2 Diabetes Mellitus (DM) patients -the DEPDIAB Study.
评估 2 型糖尿病 (DM) 患者抑郁症的患病率和预测因素 - DEPDIAB 研究。
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:5.1
- 作者:
S. Majumdar;B. Sinha;B. Ghosh Dastidar;Kalyan Kumar Gangopadhyay;S. Ghoshal;Jagat Jyoti Mukherjee;Anirban Mazumdar;S. Ray;Samir Dasgupta;Kingshuk Bhattacharjee - 通讯作者:
Kingshuk Bhattacharjee
WCN25-3303 REASSURING USAGE OF SGLT-2I AND RAASB IN INDIAN PATIENTS WITH TYPE 2 DIABETES AND CKD: A NATIONWIDE CROSS SELECTION STUDY (CITE 1)
WCN25-3303:在患有 2 型糖尿病和慢性肾脏病的印度患者中令人安心地使用 SGLT-2I 和 RAASB:一项全国性交叉选择研究(引用 1)
- DOI:
10.1016/j.ekir.2024.11.1272 - 发表时间:
2025-02-01 - 期刊:
- 影响因子:5.700
- 作者:
Samit Ghosal;Binayak Sinha;Ajay Kumar;Kalyan Gangopadhyay;Subir Ray;Surekha T;Krishna G. Seshadri;Angshuman K. Bhattacharjee;Balaji J;Anirban Mazumdar;Sruti Chandrasekharan;Bansi Saboo;Manoj Chawla;Purvi Chawla;S. Ghosh;Arvind Gupta - 通讯作者:
Arvind Gupta
Risk factors associated with Indian type 2 diabetes patients with chronic kidney disease: CITE study, a cross-sectional, real-world, observational study
- DOI:
10.1186/s12882-025-04164-6 - 发表时间:
2025-05-16 - 期刊:
- 影响因子:2.400
- 作者:
Ajay Kumar;Anirban Mazumdar;A. K. Bhattacharjee;Arvind Gupta;Arundhati Dasgupta;Binayak Sinha;Banshi Saboo;Chitra Selvan;Ghanshyam Goyal;Jaganmohan Balaji;Krishna G. Seshadri;Kalyan K. Gangopadhyay;G. Vijay Kumar;Manoj Chawla;Mohua Sikdar;Nilakshi Deka;N. K. Singh;Purvi Chawla;Pratap Jetwani;Rajiv Kovil;Samit Ghosal;Subir Ray;Sudip Chatterjee;Sruti Chandrasekharan;Sambit Das;Subhajyoti Ghosh;Sonali Patange;Sanjay Reddy;T. Surekha - 通讯作者:
T. Surekha
Anirban Mazumdar的其他文献
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{{ truncateString('Anirban Mazumdar', 18)}}的其他基金
REU Site: Summer Undergraduate Research in Engineering (SURE) - Robotics
REU 网站:暑期本科生工程研究 (SURE) - 机器人技术
- 批准号:
1757401 - 财政年份:2018
- 资助金额:
$ 49万 - 项目类别:
Standard Grant
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