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IEEE International Conference on robotics and Automation

作者： Timothy Ebinger Sascha Kaden Shawna Thomas Robert Andre Nancy M. Amato Ulrike Thomas Member of the Department of Computer Science & Engineering Texas A&M University TX USA Member of the Robotics and Human Machine Interaction Group Chemnitz University of Technology Chemnitz Germany

We present a new general framework for disassembly sequence planning. This framework is versatile allowing different types of search schemes (exhaustive vs. preemptive), various part separation techniques, and the ability to group parts, or not, into subassemblies to improve the solution efficiency and parallelism. This enables a truly hierarchical approach to disassembly sequence planning. We demonstrate two different search strategies using this framework that can either yield a single solution quickly or provide a spectrum of solutions from which an optimal may be selected. We also develop a method for subassembly identification based on collision information. Our results show improved performance over an iterative motion planning based method for finding a single solution and greater functionality through hierarchical planning and optimal solution search.

关键词： Planning Trajectory Measurement Data structures Search problems Learning systems Containers

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Error robust and efficient assembly sequence planning with haptic rendering models for rigid and non-rigid assemblies

Error robust and efficient assembly sequence planning with h...

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2017 IEEE International Conference on robotics and Automation, ICRA 2017

作者： Andre, Robert Thomas, Ulrike Robotics and Human-Machine Interaction Group Technische Universitat Chemnitz Germany

This paper presents a new approach for error robust assembly sequence planning which uses haptic rendering models (HRMs) for the representation of assemblies. Our assembly planning system uses HRMs for collision test along mating vectors, which are generated by stereographic projection. The planner stores the vectors in 2 1/2D distance maps providing fast and efficient access for the later evaluation while AND/OR-graphs contain possible sequences. Haptic rendering models facilitate the processing compared to faulty triangle meshes providing fast and geometry independent collision tests as colliding parts can easily be identified and handled accordingly. In addition, part and material related properties can be annotated. We present a fast and simple approach handling approximation inconsistencies, which occur due to discretization errors, based only on the properties of the haptic rendering models. The paper concludes with feasible results for various assemblies and detailed calculation times underlining the effectiveness of our approach. © 2017 IEEE.

关键词： Errors

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2nd workshop on evaluating Child-Robot interaction 16

2nd workshop on evaluating Child-Robot Interaction

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ACM/IEEE International Conference on human-Robot interaction (HRI)

作者： Cristina Zaga Manja Lohse Vicky Charisi Vanessa Evers Marc Neerincx Takayuki Kanda Iolanda Leite Human Media Interaction University of Twente Enschede The Netherlands Man machine Interaction Group Delft University of Technology Delft The Netherlands Intelligent Robotics and Communication Laboratory ATR Kyoto Japan Disney Research Pittsburgh Pennsylvania USA

ISBN: (纸本)9781467383707

Many researchers have started to explore natural interaction scenarios for children. No matter if these children are normally developing or have special needs, evaluating Child-Robot interaction (CRI) is a challenge. To find methods that work well and provide reliable data is difficult, for example because commonly used methods such as questionnaires do not work well particularly with younger children. Previous research has shown that children need support in expressing how they feel about technology. Given this, researchers often choose time-consuming behavioral measures from observations to evaluate CRI. However, these are not necessarily comparable between studies and robots.

关键词： Conferences Robots Pediatrics human-robot interaction Media Electronic mail Schedules

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Robots that care 10

Robots that care

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Proceedings of the 28th Annual European Conference on Cognitive Ergonomics

作者： Looije, Rosemarijn Arendsen, Jeroen Saldien, Jelle Vanderborght, Bram Broekens, Joost Neerincx, Mark TNO Human Factors Cognitive Systems Engineering P.O. Box 23 3769 ZG Soesterberg Netherlands Vrije Universiteit Brussel Robotics Research Group Pleinlaan 2 1050 Brussels Belgium Man-Machine Interaction Group TU Delft Mekelweg 4 2628 CD Delft Netherlands

ISBN: (纸本)9789490818043

Many countries face pressure on their health care systems. To alleviate this pressure, 'self care' and 'self monitoring' are often stimulated with the use of new assistive technologies. Social robotics is a research area where robotic technology is optimized for various social functions. One of these functions is self care assistance. To foster progress in this area of 'social robotics for self care', coordinated efforts between research institutes, companies and end users are needed. This workshop focuses on bringing these stakeholders together and creating a shared research agenda.

关键词： Health care

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Influence of human engineering on manning levels and human performance on ships

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NAVAL ENGINEERS JOURNAL 1997年第5期109卷 67-76页

作者： Anderson, DE Oberman, FR Malone, TB Baker, CC David E. Anderson:has a bachelor of science degree in environmental engineering from Florida Technological University and a master's degree in environmental engineering from the University of Central Florida. He is a graduate of the Naval Sea Systems Command's Engineer-In-Training (EIT) Program. Mr. Anderson was instrumental in introducing the collective protection system (CPS) in the U.S. Navy developing the initial forward-fit package for the USS Gunston Hall and the engineering change proposal (ECP) for the USS Wasp. In 1990 he joined the Human Systems Integration (HSI) Division (SEA 55W5) where he was task leader for auxiliary ships. He is currently the HSI manager for the future technology variant of the SeaLift ship and the future carrier. Association of Scientists and Engineers 33rdAnnual Technical Symposium 26 April 1996. Fred R. Oberman:has B.A. and M.A. degrees from the University of Chicago and Loyola University (experimental psychology) and an M.S. degree in industrial engineering and operations research from Virginia Polytechnic Institute (VPI). He has more than 30 years experience in HSI management planning research analysis design and testing in government and private sector positions. He is currently responsible for NavSea HSI generic research and tool development efforts. He is responsible for Human Engineering Specifications and Standards (Commercial Hypertext) and is the NavSea 03D7 representative on HSI in Performance Specifications and for integration of HSI within Integrated Logistic Support (ILS). He has served as DoD HSI SubTAG chair and member of the Simulation and Modeling Test and Evaluation Display and Control Systems Human Computer Interaction Specifications and Standards and Systems Design Sub Tags as a member of the Society of Naval Architects and Marine Engineers (SNAME) Systems Safety Panel and a member of NATO RSG 14 on man-machine analysis. Thomas B. Malone: CHFEP received a Ph.D. in experimental psychology from Fordham University in 1964. He is president of Carlow

The objectives of human Engineering (HE) are generally viewed as increasing human performance, reducing human error, enhancing personnel and equipment safety, and reducing training and related personnel costs. There are other benefits that are thoroughly consistent with the direction of the Navy of the future, chief among these is reduction of required numbers of personnel to operate and maintain Navy ships. The Naval Research Advisory Committee (NRAC) report on Man-machine Technology in the Navy estimated that one of the benefits from increased application of man-machine technology to Navy ship design is personnel reduction as well as improving system availability, effectiveness, and safety The objective of this paper is to discuss aspects of the human engineering design of ships and systems that affect manning requirements, and impact human-performance and safety The paper will also discuss how the application of human engineering leads to improved performance, and crew safety, and reduced workload, all of which influence manning levels. Finally, the paper presents a discussion of tools and case studies of good human engineering design practices which reduce manning.

关键词： human engineering

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STATISTICAL PROCESS-CONTROL FOR SOFTWARE IN THE MAINTENANCE PHASE

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NAVAL ENGINEERS JOURNAL 1993年第3期105卷 192-200页

作者： LUKE, SR JACOBS, DA REED, BM Stephen R. Luke:is a registered professional engineer in the Commonwealth of Virginia. He received his B.S. in mechanical engineering from Virginia Polytechnic Institute in 1983 and is presently pursuing a master's degree in engineering management at Old Dominion University. Mr. Luke is experienced as a test engineer at the Norfolk Naval Shipyard (1978–1989) and as a reliability/quality engineer at the Naval Undersea Warfare Center Detachment Norfolk (1989-Present). Currently he is the group leader of the RMA/QA group for the AN/SQQ-89(V) Antisubmarine Warfare System at Naval Undersea Warfare Center Detachment Norfolk. Mr. Luke is a member of ASNE IEEE (Reliability Society) and ASQC and is an ASQC certified quality engineer and reliability engineer. Derya Alasya Jacobs:is an assistant professor in the Engineering Management Department at Old Dominion University (ODU). She has a B.S. in computer science and an M.S. and Ph.D in engineering management from the University of Missouri-Rolla. Prior to joining ODU Dr. Jacobs worked as a research engineer at the Center for Technology Transfer and Economic Development at the University of Missouri-Rolla. During the same period she served as a consultant in software development for Missouri Enterprise Rolla Missouri. Dr. Jacobs' research interests are in the areas of applied artificial intelligence decision support systems operations research and computer integrated manufacturing. Billie M. Reed:is an assistant professor in the Engineering Management Department at Old Dominion University. He received a B.S. degree in mechanical engineering from Auburn University in 1971. After completing undergraduate studies Dr. Reed was commissioned as an officer in the U.S. Navy where he served in the nuclear submarine force until 1982. Following his military career Dr. Reed worked for nine years as a systems engineer and human-machine interface designer of complex interactive computer based systems for use in aircraft space and ship systems. He received his M.S. and Ph

As technology advances and our dependency on software increases, the requirement to develop the correct means to improve quality in both the deveiopment phase and the maintenance phase of software life cycle support becomes increasingly significant. The focus of this paper is on the dilemma facing software engineering in maintaining quality within the constraints of the maintenance phase. The paper further proposes that the software maintenance process can also be analvzed and improved using statistical process control (SPC) techniques. The methods discussed in this paper have been proposed for use in the Software Maintenance project at NUWC Detachment Norfolk. Upon successful testing at NUWC Detachment Norfolk, they will be forwarded to the AN/SQQ-89(V) (interagencv) Software Quality Evaluation Committee for use by other agencies which are developing and maintaining AN/SQQ-89(V) software.

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