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Human-Robot Interaction -Emerging Opportunities. Pramila Rani 1997A3PS071 October 27,2006. Two Faces of Robotics. “Service and entertainment robots” – for… well, service and entertainment. Traditional “industry robots” – for assembly and manufacturing.
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Human-Robot Interaction -Emerging Opportunities Pramila Rani 1997A3PS071 October 27,2006
Two Faces of Robotics “Service and entertainment robots” – for… well, service and entertainment Traditional “industry robots” – for assembly and manufacturing
Intelligent & Autonomous Robots- Emerging Focus in Robotics • The Robot “Invasion” • There is a projected increase of 1,145% in the number of personal service robots in use within a year • In 2004-2007, more than 4 million new units are forecasted to be added!!! • Need for Natural and Intuitive Human-Robot Communication • Unlike industrial robots, personal and professional service robots will need to communicate more naturally and spontaneously with people around • Robots will be expected to be understanding, emphatic and intelligent
Making Robots Communicate • Attempt to mimic Human-Human Interaction • More than 70% of communication is non-verbal or implicit • 7% percent of the emotional meaning of a message is communicated verbally. About 38% by paralanguage and 55% via nonverbal channels [1] • Most Significant Channels of Implicit Communication in Humans • Facial Expressions • Vocal Intonation • Gestures and Postures • Physiology [1] Mehrabian, A. (1971). Silent Messages. Wadsworth, Belmont, California
Human-Robot Interaction (HRI) • Definition:" The study of humans, robots and the ways in which they influence each other” • Vital component for autonomous robots • Draws from advancement in computer technology, artificial intelligence, machine learning, speech recognition and simulation, image processing and affective computing
Benefits of Advancement in HRI Robots would be: • Functional in dynamic & unstructured environments • Easily operable by users • Capable of engaging in multi-modal communication based on user speech, vision, touch and affect • More autonomous, reducing manning effort
Evolution of Human-Robot Interfaces • Remote Control & keyboard • Tele-operation • Speech • Vision • Physical embodiment • Physiological signals
Personal & Professional Service Robots - Applications Space Exploration Search & Rescue Education & Entertainment Personal Service Professional Service
Opportunities • Higher Education & Research • Social Robotics – MIT Media Lab • Multi-modal human-robot communication- University of British Columbia • Human-robot interaction architectures – Carnegie Melon University • Sensors and perception for HRI - University of Southern California • Museum robotics – Carnegie Melon University • Educational Robotics – Vanderbilt University • Urban Search and Rescue – University of South Florida
Opportunities (contd…) • Career in HRI • Academia • Research and Development • Intelligent Robot Design (ActivMedia Robotics) • Service Robots (iRobot Corporation) • Industrial research – Sony, Honda, Mitsubishi • Automobile industry – Ford, Honda, GM
My Dissertation – Making Emotion-Sensitive Robots • My dissertation • Psychophysiology-Based Affective Communication for Implicit Human-Robot Interaction • Developing an intuitive affect*-sensitive human-robot interaction framework where • affective states are inferred from the human's physiological signals • robot working with a human detects and recognizes his/her probable affectivestate • robot adapts its behavior in response to the human's affective state • such interaction reduces human anxiety, improves performance and overall interaction experience
Finding the Right Information • University Websites • Alumni Network • HRI Journals, Conferences, and Magazines • Project Websites • HRI resources on the web • http://prldev.csee.usf.edu/hriweb/
Points to Take Home • HRI – an emerging areas in Robotics- fun, interesting and challenging • Bright prospects for higher education and career opportunities • Students of CS, EEE, ME, and Instru can apply • Plan ahead for MS, PhD. Research Universities and Professors • Good Luck!
References • Publications • R. Picard, Affective Computing, MIT press, 1997. • P. Rani, N. Sarkar, C. Smith, and L. Kirby, “Anxiety Detecting Robotic Systems – Towards Implicit Human-Robot Collaboration,” Robotica, Vol. 22, Issue. 1, pp. 85-95, 2004. • Liu, C, Rani, P., Sarkar, N., "Comparison of Machine Learning Techniques for Affect Detection in Human Robot Interaction," IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2005, Canada. • B. Reeves and C. Nass, The Media Equation, (Cambridge University press, 1996) • Pictures • http://robonaut.jsc.nasa.gov/status/RoboReport_11_02_files/image025.jpg • www.msnbc.msn.com/id/4517261/ • www.odenberg.ie/industrial_robotics.htm • http://people.csail.mit.edu/edsinger/image/other_robots/kismet.jpg • http://unleashed.it.uts.edu.au/images/robot_soccer.jpg