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Reports of the AAAI 2016 Spring Symposium Series

Christopher Amato, Ofra Amir, Joanna Bryson, Barbara Grosz, Bipin Indurkhya, Emre Kiciman, Takashi Kido, W. F. Lawless, Miao Liu, Braden McDorman, Ross Mead, Frans A. Oliehoek (+3 others)
2017 The AI Magazine  
The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3  ...  ) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Non-Human Agents; (5) Intelligent Systems  ...  control); demonstration techniques; human-computer and human-robot interaction issues related to learning from observation, or learning from humans; interactive learning from humans; evaluation methodologies  ... 
doi:10.1609/aimag.v37i4.2691 fatcat:qlgi75jqqrbftldamz7hixpt4u

Toward More Natural Human-Robot Dialogue

Tom Williams
2015 Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts - HRI'15 Extended Abstracts  
INTRODUCTION A primary goal of the field of Human-Robot Interaction is to allow for natural human-robot interactions, and thus robot architectures must eventually be able to understand truly natural human  ...  This integration is detailed in [7] , and can be observed in a video at  ... 
doi:10.1145/2701973.2702703 dblp:conf/hri/Williams15 fatcat:xzz7k5okance7jof6w7tcbxm3q

A Review on Object Tracking Across Real-World Multi Camera Environment

Rino Cherian, Jothimani K., Reeja S.R.
2021 International Journal of Computer Applications  
In video observation, recognition of moving items from a video is significant for object discovery, target tracking, and behavior understanding.  ...  The work includes planning of the proficient video observation framework in complex conditions.  ...  These cycles were utilized to plan a start to finish acknowledgment structure.  ... 
doi:10.5120/ijca2021921007 fatcat:xwgq6c5ekvhcvk576pjhva75rm

Design and Development of a Humanoid Robot for Sign Language Interpretation

Ragib Amin Nihal, Nawara Mahmood Broti, Shamim Ahmed Deowan, Sejuti Rahman
2021 SN Computer Science  
We utilized the Recurrent neural network (RNN) and Convolutional neural network (CNN) for deep learning model establishment and feature extraction from video and image data.  ...  The learning model for video-based medical sign recognition achieved 87.5% test accuracy.  ...  It collects data from users and utilizes our deep learning networks to recognize two types of SL including video-based American SL medical signs and image-based Bangla SL (BdSL).  ... 
doi:10.1007/s42979-021-00627-3 fatcat:i5qqglt5gja3ph2rx5iib37g4a

A Review of Object Visual Detection for Intelligent Vehicles

Sirin Kumar Singh, Department of Computer Science & Engineering, School of Engineering, Babu Banarasi Das University, Uttar Pradesh, India
2021 Journal of Informatics Electrical and Electronics Engineering (JIEEE)  
With the fast advancement in profound learning, all the more useful assets, which can learn semantic, significant level, further highlights, are acquainted with address the issues existing in customary  ...  This paper contains the details of different object detection (OD) techniques, object identification's relationship with video investigation, and picture understanding, it has pulled in much exploration  ...  Programmed vehicle following ability is key for CAVs; in this article, we give an audit of the basic issues in the longitudinal control plan for programmed vehicle following frameworks (AVFS) utilized  ... 
doi:10.54060/jieee/002.02.008 fatcat:lajgh5n76vdavieakskubfczgy

Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic [article]

Zhiyu Liu, Meng Jiang, Hai Lin
2020 arXiv   pre-print
The resulting parametric GSTL formulas from specification mining serve as a domain theory, which is used in automated task planning for autonomous robots.  ...  We aim to enable an autonomous robot to learn new skills from demo videos and use these newly learned skills to accomplish non-trivial high-level tasks.  ...  Specifically, it is crucial for autonomous robots to learn new information in the form of GSTL formulas from the environment via sensor (e.g., video) directly without human inputs.  ... 
arXiv:2007.08451v1 fatcat:lyf6lqexhbfjjej3x4dtv5ylgy

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu
2020 Engineering  
tasks, including tool use, planning, utility inference, and social learning.  ...  Recent progress in deep learning is essentially based on a "big data for small tasks" paradigm, under which massive amounts of data are used to train a classifier for a single narrow task.  ...  for deductive planning in The naıve theory of rational action, Trends in Cognitive Sciences 7 (7) robotics, in: Conference on Robot Learning, 2017  ... 
doi:10.1016/j.eng.2020.01.011 fatcat:dltxealx3zgk5eyi2hlszbjhmu

Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors [article]

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
2021 arXiv   pre-print
In this paper, we present our efforts on eliciting the detailed design specifications on how AI and robotic coaches could interact with and guide patient's exercises in an effective and acceptable way  ...  In addition, our evaluation sheds light on several practical concerns (e.g. a possible difficulty with the interaction for people with cognitive impairment, system failures, etc.).  ...  Acknowledgements The authors thank Carolina Vieira for the assistance with running and coding the interviews with participants, and all the participants in this study for their time and valuable inputs  ... 
arXiv:2106.08458v1 fatcat:irvwaw436fet3nxhwpn5gr23ku

A Review of Automatic Driving System by Recognizing Road Signs Using Digital Image Processing

Afroj Alam, Department of Computer Science Engineering, Integral University, Lucknow, India
2021 Journal of Informatics Electrical and Electronics Engineering (JIEEE)  
In this review, the paper furnishes object identification's relationship with video investigation and picture understanding, it has pulled in much exploration consideration as of late.  ...  With the fast advancement in profound learning, all the more useful assets, which can learn semantic, significant level, further highlights, are acquainted with address the issues existing in customary  ...  Programmed vehicle following ability is key for CAVs; in this article, we give an audit of the basic issues in the longitudinal control plan for programmed vehicle following frameworks (AVFS) utilized  ... 
doi:10.54060/jieee/002.02.003 fatcat:4jflzzhwezafbglycgwq5zloom

A Multidisciplinary Approach to Learning Human-Robot Interaction (HRI) Through Real-World Problem Solving—The "BUSA Dig"

Rob Blain, Alex Ferworn, Jean Li, Jimmy Tran, Michael Carter
2017 Journal of Human-Robot Interaction  
This article examines a cross-disciplinary approach to learning human-robot interaction (HRI) through real-world problem solving.  ...  Blain et al., Learning HRI Through Real World Problem Solving 71 protection of archeological sites across the country. El-Hibeh, in a rather isolated region of Egypt, was badly affected.  ...  Ferworn's CPS813/DG8010 Human Robot Interaction course were able to meet the learning outcomes for the course.  ... 
doi:10.5898/jhri.6.2.blain fatcat:c4wf6yfcyffufhvg4cin4z2ijq

Knowledge Representations in Technical Systems – A Taxonomy [article]

Kristina Scharei, Florian Heidecker, Maarten Bieshaar
2020 arXiv   pre-print
The recent usage of technical systems in human-centric environments leads to the question, how to teach technical systems, e.g., robots, to understand, learn, and perform tasks desired by the human.  ...  Additionally, applications of presented knowledge representations are introduced in everyday robotics tasks.  ...  Acknowledgment This work results from the project DeCoInt 2 , supported by the German Research Foundation (DFG) within the priority program SPP 1835: "Kooperativ interagierende Automobile", grant number  ... 
arXiv:2001.04835v2 fatcat:pwzshfziwna6loxdu33jxoaige

A Review of 40 Years of Cognitive Architecture Research: Core Cognitive Abilities and Practical Applications [article]

Iuliia Kotseruba, John K. Tsotsos
2018 arXiv   pre-print
Our final set of 84 architectures includes 49 that are still actively developed, and borrow from a diverse set of disciplines, spanning areas from psychoanalysis to neuroscience.  ...  To keep the length of this paper within reasonable limits we discuss only the core cognitive abilities, such as perception, attention mechanisms, action selection, memory, learning and reasoning.  ...  In the robotic architecture ADAPT, Soar is utilized for control, whereas separate modules are responsible for modeling a 3D world from sensor information and for visual processing [48] .  ... 
arXiv:1610.08602v3 fatcat:2fwvii767bg5vkocfsmzpoaexi

The Analysis of the Impact of Yoga on Healthcare and Conventional Strategies for Human Pose Recognition

Nagalakshmi Vallabhaneni, Dr. P. Prabhavathy
2021 Turkish Journal of Computer and Mathematics Education  
Second, the comprehensive review of yoga posture recognition systems from machine learning to deep learning strategies and evaluation metrics discussed  ...  Nonetheless, camera-based plans have security and privacy issues, and the wearable device-based methods are illogical in the earlier applications.  ...  Human-computer interaction (HCI): It is majorly chosen for computers and also for robots to analyse recognition, place, and human movement in a better way.  ... 
doi:10.17762/turcomat.v12i6.4032 fatcat:3uwfnvf76nfv3h7y57qf54gmay

Reports on the 2016 IJCAI Workshop Series

Biplav Srivastava, Gita Sukthankar
2017 The AI Magazine  
This report summarizes the 39 workshops held as part of the 2016 International Joint Conference on Artificial Intelligence, held in New York, NY from July 9–11.  ...  The new results from papers demonstrated approaches ranging from incorporating structured KB's into machine learning to exploiting deep learning for extracting domain semantics.  ...  The topics of presentations varied from natural language processing over diagnosis and robotics up to search and planning.  ... 
doi:10.1609/aimag.v37i4.2689 fatcat:d5a2crnwy5dzhdchqzed4ghfpy

Tips on Establishing a Robotics Program in an Academic Setting

William D. Steers
2006 The Scientific World Journal  
Nearly a quarter of the prostatectomies done for prostate cancer in the U.S. in 2006 will use robotic assistance, yet reports fail to confirm cost effectiveness.  ...  This report reviews the steps to assess, plan, initiate, and maintain a robotics program at an academic institution with the hope that other programs can benefit from lessons acquired by early adopters  ...  INITIAL PLANNING The choice of robot for human intra-abdominal, thoracic, or pelvic surgery is simplified by the fact that there is only one manufacturer.  ... 
doi:10.1100/tsw.2006.393 pmid:17619728 pmcid:PMC5917135 fatcat:pdlibr5455bv3lugrxwmfie43a
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