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미국
Human Robotic Systems (HRS): Robonaut 2 Technologies Element
<p>The goal of the Robonaut 2 (R2) Technology Project Element within Human Robotic Systems (HRS) is to developed advanced technologies for infusion into the Robonaut 2 project leading to new capabilities for Robonaut. In FY14, HRS and the Technology Demonstration Mission (TDM) Human Exploration Telerobotics (HET) will collaborate to deliver a mobile IVA Robonaut 2 to ISS.</p><p>During 2014, the &ldquo;<em>Robonaut 2 Technologies&rdquo;</em> project element will develop two technologies:</p><ul><li>Mobile IVA Robonaut 2</li><li>Natural User Interfaces for Advanced Telerobotic Operations</li></ul><p>The primary work area in this project element is to contribute to sending a mobile IVA Robonaut to the International Space Station (ISS) and to begin using it as a mobile system.&nbsp; The main area where HRS will contribute to Robonaut 2 in FY14 will be in the area of battery development.&nbsp; HRS will perform component testing of the engineering development unit (EDU) and complete assembly of the certification unit battery. The development will eventually lead to a robotic system moving and working safely in the same space as Astronauts on ISS.&nbsp;</p><p>The second work area under this project element will be to use body-tracking input devices (i.e. Microsoft Xbox Kinect and accelerometer gloves) to immerse an operator in an accurate virtual model of the robot&rsquo;s environment, capture the intent of the operator, and safely execute mobility and manipulation tasks suitable for platforms such as Robonaut 2. Initially, the operator&rsquo;s head position will be tracked in order to render an appropriate point of view in the virtual environment. Next, model-based recognizers will be developed and trained to detect gestures by the human operator and trigger autonomous behaviors on the robotic system. Initial efforts will use the Kinect sensor, with additional potential investigations into other similar or complementary sensors.</p><p>In FY14, development will focus on further extending our natural user interface system to address the concurrent operation of manipulation and mobility aspects of hybrid robotic systems such as Robonaut 2 with legs (ground only in FY14) or an ATHLETE robot driving while manipulating a payload.</p>
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한국로봇산업진흥원 로봇 이슈 브리프
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로봇산업 이슈브리프는 로봇산업 관련 산업기술 및 다양한 주제를 중심으로 시사성 있는 자료들을 제시한 연구보고서입니다.
Extreme Robotics Sp. z o.o. - Raport z przeprowadzonych prac badawczych w ramach projektu nr RPMA.01.02.00-14-B488/18
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,Raport z przeprowadzonych prac badawczych w ramach projektu nr RPMA.01.02.00-14-B488/18,
한국로봇산업진흥원 로봇 분야 전문 인력에 관한 DB 구축(2012)
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국내 대학 및 연구소에서 로봇 관련 인력양성 및 R&D에 참여하고 있는 전문 인력을 조사하여 국내 로봇 분야의 인적 자원에 대한 데이터베이스 구축
한국로봇산업진흥원 시장창출형 로봇보급사업 패키지형 R&BD 연계 연구(2015)
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패키지형 R&BD 지원 프로그램 도입이 국내 로봇산업 Total Solution으로 적합한지에 대한 타당성 및 방안에 관한 연구
Space Mission Human Reliability Analysis (HRA) Project
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The purpose of this project is to extend current ground-based Human Reliability Analysis (HRA) techniques to a long-duration, space-based tool to more effectively predict the risk associated with human actions on long-duration missions.  By doing so, the agency will be able to focus resources on the risk drivers, such as specific training, conditioning, procedures, exercising, etc. for these future missions.  NASA uses Probabilistic Risk Assessments (PRAs) to assess the probability of Loss of Crew (LOC) and Loss of Mission (LOM).  PRAs take into account multiple contributing factors and their interactions, such as how the crew, software, and hardware work together to achieve mission objectives.  HRA is used to assess the human contribution to risk in PRAs.  Current HRA techniques were developed for ground applications using Earth based human reliability data to estimate human error probability.  These ground-based HRA techniques have been shown to be a reasonable tool for short-duration space missions, such as Space Shuttle and lunar fly-bys.  However, longer-duration beyond Earth orbit missions, such as asteroid and Mars missions, will require crews to be in space for 400 to 900 days with periods of extended autonomy and self-sufficiency.  Current indications show higher risk due to fatigue, physiological effects due to extended low gravity environments, and others, which may impact HRA predictions by affecting the crew’s cognitive abilities, as well as their physiology, and yield a higher probability for LOC and LOM (e.g. early return).  PRAs will need to account for these effects in order to provide management, designers, and the crew our best estimate of risk.

With the funding of this IR&D project over the next three years, Safety & Mission Assurance (S&MA) will collaborate with Human Health & Performance (HH&P) to establish what is currently used to assess human reliability for human space programs, identify human performance factors that may be sensitive to long duration space flight, collect available historical data, and update current tools to account for performance shaping factors believed to be important to such missions.  JSC’s Human System Integration (HSI) initiative is a work in progress to better understand how the crew, software, and hardware work together and ensure that HSI is accounted for in future space mission designs.

 

흥일기업(주) - 로봇 관점 주행 영상(고도화) - 소셜 내비게이션 로봇 주행
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- 20년도 기구축 데이터의 고도화 사업으로 세부 내용인 실내 다중이용시설에 최적화된 데이터 구축을 위해 다양한 조건 및 환경적 특성을 반영한 실내 다중이용시설 대상 로봇 AI 자율주행 알고리즘 개발의 기반 데이터를 구축함
한국로봇산업진흥원 로봇산업 인력수급 전망체계 개발(2014)
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로봇산업의 인적자원 현황 파악 및 향후 예상되는 인적자원의 양성 및 활용과 관련된 인력수급 전망체계 개발에 관한 연구
한국로봇산업진흥원 로봇융합포럼 운영과 핵심제품선정 및 제품화 전략방안 연구(2011)
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로봇 산학연관 전문가 네트워크 확대 개선, 로봇 정책에 대한 개선 방안과 R&D 결과물의 방향 제시, 로봇융합포럼 8개 분과의 핵심제품 선정 및 제품화 전략 수립을 위한 정책적 방안 도출
한국로봇산업진흥원 로봇산업 생태계 조성전략(2011)
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로봇산업 생테계 조성을 위한 전략 수립 방안 연구
국립공원공단 - 치악산둘레길 실측 데이터
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국립공원공단과 GS건설(선행기술본부)이 민관협력을 통해 4족보행 로봇에 고정밀 센서 '라이더'를 설치해 치악산국립공원 3구간에서 취득한 3차원 지도 데이터입니다. 위치기반서비스 등 관련 기업에서 R&D 및 기술실증 데이터로 활용