RCP_HUMAN_COMPUTER_INTERACTION_INDUSTRY 4.0.pptx

RCP_HUMAN_COMPUTER_INTERACTION_INDUSTRY 4.0

1. Research Domain Research Focus Area Research Theme Industry 4.0 Smart manufacturing Human action tracking in Human-Robot Collaboration

2. Research Domain Industry 4.0: Industry 4.0 is characterized by the strong automation of the design, manufacturing and distribution stages of goods and services with strong use of CI – Collective Intelligence – and AI – Artificial Intelligence. Survey: Industry 4.0

3. Research Focus area Smart manufacturing: Smart manufacturing has been defined as the fully-integrated, collaborative manufacturing systems that respond in real time to meet changing demands and conditions in the smart factory, in the supply network, and in customer needs. 

4. Benefits of smart manufacturing Improved Productivity Innovation and Higher Quality Products More Manufacturing Jobs Energy Efficiency Survey: Smart manufacturing

5. Research theme Human action tracking in Human-Robot Collaboration : A crucial technology in modern smart manufacturing is the  human - robot collaboration  (HRC) concept. Perceiving human motion and non-verbal cues is an important aspect of human-robot interaction.

6. HRC characteristics Level & behavior of the autonomy Kind of information exchange Team anatomy Adaption, learning & training of both robots & human partners Outlook of the task

7. HRC challenges HRI involves many challenges such as development of Communication & intellectual skills, path planning in shared environment, building of trust in human partner &robots(human-aware execution), cooperative task management(joint action) & ,etc Among various challenges of HRI, building of cognition in robots for cooperative work in shared environment is a crucial issue.

8. Prior Research work Cognition in HRI : Human being is naturally blessed with cognition /perception functions whereas building such intelligent awareness in robot for cooperative work with human partner is challenging task. literature survey is being carried out know about various concepts of cognition & HRI such as attributes, challenges & architectures.

9. Levels of Artificial intelligence Reactive machines Limited memory Theory of mind Self-awareness

10. Research questions Process of building intelligence in Machines Why it is so critical? List various levels of Robot intelligence. WHAT IS COGNITION? What do you mean by building robot intelligence? Issues & Challenges in HR collaboration Identifying important Robot actions that need critical decision making. Procedure for planning robot actions like path planning, motion planning.

11. Cont.. Existing practices & challenges Why there is a need to optimize them? What do you mean by Human-Robot collaboration? Scope, objectives, outcomes of H-R collaboration Attributes & Characteristics of HRC. Architectures used in HRC.

12. References Ilias El Makrini1*, Kelly Merckaert1 , Dirk Lefeber1 and Bram Vanderborght1, “Design of a Collaborative Architecture for Human-Robot Assembly Tasks”, September 2017 Elizabeth Cha1 , Maja Mataric ´ 1 , Terrence Fong2, “Nonverbal Signaling for Non-Humanoid Robots During Human-Robot Collaboration”, 1Department of Computer Science, University of Southern California, Los Angeles, CA 90089 2 Intelligent Robotics Group, NASA Ames Research Center, Mountain View, CA 94035,978-1-4673-8370-7/16/$31.00 © 2016 IEEE, pp.601-602 Marta Lorenzini , Wansoo Kim , Elena De Momi , and Arash Ajoudani , “A Synergistic Approach to the Real-Time Estimation of the Feet Ground Reaction Forces and Centers of Pressure in Humans With Application to Human–Robot Collaboration”, IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 3, NO. 4, OCTOBER 2018, pp.3654-3661 In˜aki Maurtua1 , Aitor Ibarguren2 , Johan Kildal1 , Loreto Susperregi1 and Basilio Sierra, “Human–robot collaboration in industrial applications: Safety, interaction and trust”,   International Journal of Advanced Robotic Systems · July 2017, pp.1-10 Séverin Lemaignan1,2 , Mathieu Warnier1 , E. Akin Sisbot1 , Aurélie Clodic1 , Rachid Alami1, “Artificial Cognition for Social Human-Robot Interaction: An Implementation”,July 4, 2016, pp.1-30 Fahad Alaieri2,3 and Andr´e Vellino1, “Ethical Decision Making in Robots: Autonomy, Trust and Responsibility Autonomy Trust and Responsibility”,c Springer International Publishing AG 2016 A. Agah et al. (Eds.): ICSR 2016, LNAI 9979, pp. 159–168, 2016. DOI: 10.1007/978-3-319-47437-3 16,pp.159-168 Elahe Aghapour , Jay A. Farrell, “Human Action Prediction for Human Robot Interaction”,2016 American Control Conference (ACC) Boston Marriott Copley Place July 6-8, 2016. Boston, MA, USA,978-1-4673-8682-1/$31.00 ©2016 AACC,pp.5407-5412 Krystel Libert ,Nathalie Cadieux , Elaine Mosconi ,“Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption”, Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020,pp.533-542. Chris Torkar1,2 , Saeed Yahyanejad1 , Horst Pichler1 , Michael Hofbaur1 , Bernhard Rinner2, “RNN-based Human Pose Prediction for Human-Robot Interaction”, Proceedings of the ARW & OAGM Workshop 2019, pp.76-80 Rafiq Ahmad and Peter Plapper , “Human-Robot Collaboration: Twofold Strategy Algorithm to Avoid Collisions Using ToF Sensor”,International Journal of Materials, Mechanics and Manufacturing, Vol. 4, No. 2, May 2016,pp.144-147

13. Philipp Kratzer1 , Marc Toussaint1 and Jim Mainprice1,2 , “Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization”,arXiv:1906.12279v1 [cs.RO] 28 Jun 2019. Guilherme Maeda1 , Marco Ewerton1 , Gerhard Neumann2 , Rudolf Lioutikov1 and Jan Peters1,3, “Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration”,The International Journal of Robotics Research · February 2017. Matteo Ragaglia , Andrea Maria Zanchettin and Paolo Rocco ,“Safety-aware trajectory scaling for human-robot collaboration with prediction of human occupancy”,978-1-4673-7509-2/15/$31.00 © 2015 European Union. David Vernon,Giorgio Metta,Giulio Sandini, “The iCub Cognitive Architecture: Interactive Development in a Humanoid Robot”. Jordi-Ysard Puigboa ∗, Albert Pumarolaa , Cecilio Anguloa and Ricardo Tellez, “Using a cognitive architecture for general purpose service robot control”, Connection Science, 2015 Vol. 27, No. 2, 105–117. Danilo H. Perico1 · Thiago P. D. Homem1,2 · Aislan C. Almeida1 · Isaac J. Silva1 · Claudio O. Vilão Jr.1 · Vinicius N. Ferreira1 · Reinaldo A. C. Bianchi, “Humanoid Robot Framework for Research on Cognitive Robotics”,Journal of Control, Automation and Electrical Systems (2018) 29:470–479. Kristiina Jokinen , “Constructing Human-Robot Interaction with Standard Cognitive Architecture”. Muhammad Faheem Mushtaq1,2 , Urooj Akram2 , Adeel Tariq2 , Irfan Khan1,2 , Muhammad Zulqarnain2 , Umer Iqbal2, “An Innovative Cognitive Architecture for Humanoid Robot”,(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 8, 2017. Muhammad Faheem Mushtaq † , Dost Muhammad Khan† , Urooj Akram ††, Saleem Ullah ††† , Adeel Tariq††, “A Cognitive Architecture for Self Learning in Humanoid Robots”, IJCSNS International Journal of Computer Science and Network Security, VOL.17 No.5, May 2017. Massimiliano Patacchiola and Angelo Cangelosi , “A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots”,pp.2168-2267 Jonas Gonzalez-Billandon1,2∗ , Alessandra Sciutti3 , Matthew Tata4 , Giulio Sandini1 , Francesco Rea1, “Audiovisual cognitive architecture for autonomous learning of face localisation by a Humanoid Robot”,2020 IEEE International Conference on Robotics and Automation (ICRA) 31 May - 31 August, 2020. Paris, France. Uriel Martinez-Hernandez1 , Luke W. Boorman1 , Andreas Damianou2 , and Tony J. Prescott1, “Cognitive architecture for robot perception and learning based on human-robot interaction”.

14. Online courses Coursera courses on Digital manufacturing & design technology specialization Coursera course on Neural Networks and Deep Learning Coursera course on Image Processing with Python. Live webinar on Research methodology & data analysis.

15. Publications Fusion Strategies for Multimodal Biometric System Using Face and Voice Cues An Approach for Pose Invariant Face Recognition System Using Log-Gabor Feature

16. On going Research work Review paper on “Human-Robot collaboration” Experimenting the related projects to gain the theme knowledge.

17. Thank you