2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO)最新文献_第3页

European robotics challenges — A retrospective analysis of stage I towards a better challenge design in the future 欧洲机器人挑战赛-对第一阶段的回顾性分析，以实现未来更好的挑战设计

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428201

R. Awad, Laura Korting, A. J. V. D. Meer

引用次数: 0

A control allocation approach to haptic control of underwater robots 水下机器人触觉控制的控制分配方法

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428209

Cong Dung Pham, Christine Spiten, P. From

引用次数: 5

NAO robot and the “endowment effect” NAO机器人与“禀赋效应”

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428203

O. Masson, Jean Baratgin, Frank Jamet

{"title":"NAO robot and the “endowment effect”","authors":"O. Masson, Jean Baratgin, Frank Jamet","doi":"10.1109/ARSO.2015.7428203","DOIUrl":"https://doi.org/10.1109/ARSO.2015.7428203","url":null,"abstract":"In this experiment, a humanoid robot (NAO), for the first time, replaces the experimenter to study the endowment effect that describes the fact that individuals prefer an object or a service that belongs to them over an equivalent object or service. The traditional methodology used to observe the endowment effect was based on a simple experimental exchange paradigm. The effect is measured along the proportion of participants reluctant to accept the exchange. This robust effect of endowment is considered in the economic literature as a serious decisional bias that seems to exist since the younger age. Two explanations have been advanced in the literature. The first explanation refers to the aversion to the loss that individuals would have as it is detailed by the prospect theory. The second explanation, the most recent one, specifies that the willingness to possess is a consequence of the evolution. We propose an additional explanation; that social rules of the individuals can explain the reluctance to exchange an object or to prefer an object already possessed over the same object that these individuals do not possess. The paradigm of the exchange would implicitly favor a response in line with politeness norms at use in Western societies. In order to account for this third explanation, the use of NAO robot allows reproducing the exchange experimental paradigm in a neutral disambiguated context where the politeness norms are not prompted by the interaction experimenters/participants. This experiment concluded to no endowment effect. This procedure reveals a new paradigm to understand the emergence of social norms at play in an interaction robot-human researching what “behaviors” programmed in NAO triggers an endowment effect and favors the emergence of politeness norms.","PeriodicalId":211781,"journal":{"name":"2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122042448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Investigating similarity measures for locomotor trajectories based on the human perception of differences in motions 基于人类对运动差异的感知，研究运动轨迹的相似性度量

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428196

Annemarie Turnwald, Sebastian Eger, D. Wollherr

{"title":"Investigating similarity measures for locomotor trajectories based on the human perception of differences in motions","authors":"Annemarie Turnwald, Sebastian Eger, D. Wollherr","doi":"10.1109/ARSO.2015.7428196","DOIUrl":"https://doi.org/10.1109/ARSO.2015.7428196","url":null,"abstract":"Providing robots with the ability to move humanlike is one of the recent challenges for researchers who work on motion planning in human populated environments. Human-like motions help a human interaction partner to intuitively grasp the intention of the robot. However, the problem of validating the degree of human-likeness of a robot motion is rarely addressed, especially for the forward motion during navigation. One approach is using similarity measures to compare the robot trajectories directly with human ones. For this reason, this paper investigates different methods from the time series analysis that can be applied to measure the similarity between trajectories: the average Euclidean distance, the Dynamic Time Warping distance, and the Longest Common Subsequence. We aim to identify the measure that performs the same way as a human who rates the similarity. Thus, the evaluation of the methods is based on a questionnaire that examines the human perception of differences between walking motions. It is concluded that the human similarity perception is reproduced best by using the Dynamic Time Warping and comparing the derivatives of the path and velocity profiles instead of the absolute values.","PeriodicalId":211781,"journal":{"name":"2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130146721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Divide-and-conquer manipulation planning by lazily searching a weighted two-layer manipulation graph 通过延迟搜索加权两层操作图进行分治式操作规划

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428206

Weiwei Wan, K. Harada

{"title":"Divide-and-conquer manipulation planning by lazily searching a weighted two-layer manipulation graph","authors":"Weiwei Wan, K. Harada","doi":"10.1109/ARSO.2015.7428206","DOIUrl":"https://doi.org/10.1109/ARSO.2015.7428206","url":null,"abstract":"When people fail to move his or her arms from one configuration to another, they attempt to break the task into smaller tasks and finish them separately. This kind of solution is usually named “divide and conquer”. In this paper, we propose an implementation of “divide and conquer” where the robot attempts to divide one difficult manipulation task into smaller but easier problems according to the results of lazy planning. It leverages the planning of different levels to build a weighted two-layer manipulation graph, and divides and conquer the original task by lazily searching the weighted two-layer manipulation graph. In the lowest level, the planning is motion planning. In the middle level, the planning is grasp planning and placement planning. In the highest level, the planning is manipulation planning. Our implementation uses the grasps and placements computed in the middle level to construct a weighted two-layer manipulation graph for the highest level. It finds a manipulation path through the weighted two-layer manipulation graph in the highest level using lazy searching, and uses motion planning in the lowest level to find the motions that connect the vertices of the weighted two-layer manipulation path. Simulation is developed to demonstrate the the performance of our implementation. The manipulation task in the simulation is divided and separately conquered by leveraging the planning at different levels.","PeriodicalId":211781,"journal":{"name":"2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133710413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An approach to integrate human motion prediction into local obstacle avoidance in close human-robot collaboration 人机密切协作中人体运动预测与局部避障的融合方法

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428221

K. Dinh, Ozgur S. Oguz, Gerold Huber, Volker Gabler, D. Wollherr

{"title":"An approach to integrate human motion prediction into local obstacle avoidance in close human-robot collaboration","authors":"K. Dinh, Ozgur S. Oguz, Gerold Huber, Volker Gabler, D. Wollherr","doi":"10.1109/ARSO.2015.7428221","DOIUrl":"https://doi.org/10.1109/ARSO.2015.7428221","url":null,"abstract":"Within Human-Robot Collaboration (HRC) safety is one key-issue that has to be guaranteed at any time during joint collaboration. Collisions in a shared workspace of a Human-Robot-Team (HRT) must be prevented. In addition, the comfort of the collaboration behavior should be provided. Facing these challenges, a robot has to be able to detect critical states at an early stage on the one hand and should react to them within a very short time span on the other hand. In this paper a collision avoidance algorithm using compliance control that guarantees a fast reaction to dynamic obstacles, e.g. humans, without the need of high computational effort is outlined. To further improve the avoidance behavior of the robot, a human motion prediction algorithm based on the minimum-jerk model is integrated. In an experimental analysis of a case-study about collecting LEGO-bricks on a table with various subjects, the impact of the integration of human motion prediction on both the robot's reaction time and human's perception of the robot co-worker is studied. Finally, the comfort and acceptance of the robot colleague by the human collaborator is drawn out through an analysis of the subjective human feedback questionnaires.","PeriodicalId":211781,"journal":{"name":"2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121224796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Intention-aware risk estimation: Field results 意图感知风险评估:现场结果

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428204

S. Lefèvre, D. Vasquez, C. Laugier, J. Guzman

引用次数: 6

A review: Can robots reshape K-12 STEM education? 回顾:机器人能重塑K-12 STEM教育吗?

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428217

Mohammad Ehsanul Karim, Séverin Lemaignan, F. Mondada

引用次数: 115

HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot 生态动态实验中的HRI:基于GEE语料库的Emox机器人方法

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428207

Leslie Guillaume, V. Aubergé, Romain Magnani, Frédéric Aman, Cecile Cottier, Y. Sasa, Christian Wolf, Florian Nebout, N. Neverova, Nicolas Bonnefond, Amaury Nègre, Liliya Tsvetanova, Maxence Girard-Rivier

引用次数: 7

Integration of ADAS algorithm into an experimental vehicle ADAS算法在实验车辆中的集成

2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2015-06-01 DOI: 10.1109/ARSO.2015.7428202

Jérôme Lussereau, P. Stein, Jean-Alix David, Lukas Rummelhard, Amaury Nègre, C. Laugier, Nicolas Vignard, Gabriel Othmezouri

引用次数: 1