The 1st Workshop of

Neur    design in Human-Robot Interaction

The making of engaging HRI technology your brain can’t resist.

Half-day online workshop as part of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2022)
October 9, 2022
14:00 - 18:30 (CET)
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     Our Mission     

Bring      Human-Robot Interaction Research
to the Real World with
Brain-Centered Experience

     Statement     

Problem
Solution
Approach

Problem

  • Current robots interacting with humans don't understand personalized intents, attentions, specific needs and/or emotions to serve people appropriately in different contexts.
  • The design of interactive robot behaviors doesn’t match human's intuition, user's expectations or social norms, such that the people have a hard time interpreting the objectives of the robots.
  • The humans and the robots don't have mutual understandings to perform coordinated, co-adaptive joint actions in close contact, proximity or tele-operated spaces.
  • The human-machine interfaces are not ergonomically designed. The software AI algorithms or the embodied intelligence in mechanisms used in applications lack the cognitive smoothness for the people to interact with. As a result, human and machine cannot communicate naturally and effortlessly.
  • The academic HRI researches have difficulties to enter into the consumer markets to make immediate practical impact.

Solution

  • Reinventing human-robot interaction by working with scientists, entrepreneurs and end-users to define, prove, innovate and scale the need-driven, value-based HRI innovations.
  • Placing the brain-centric experiences at the center of design to compensate, augment, facilitate us human, our societies and mother nature's harmony, as well as to improve the quality of life everywhere.
  • We investigate the special characteristics of human behavioral psychologies when experimenting with the users. Building upon that, we will explore and implement the fundamental neuroscience principles of sensing, cognition, planning/decision making and motor control in tuning HRI interaction dynamics and designing bio-compatible human-robot interaction devices, algorithms, theories and strategies.
  • Mixing multi-disciplinary domain expertise, diverse mindsets, market-driven research funding to shorten the time-to-market of traditional lab researches during the entire innovation process.

Approach

  • Optimize Cognitive Load of HRI
  • Emotion-Aware Interactions
  • Intuitive Human-Machine Channels
  • AI-Enhanced Brain-Centered Experience
  • Design the Innovation Pipeline through the Lens of Entrepreneurship

Invited Speakers

Midori
Sugaya

Professor, CSE, EECS
Shibaura Institute of Technology
“Kind, warm-hearted and considerate” are always the accolades Dr. Sugaya receives from her students. And that’s why her research in human emotion estimation and the applications on robots and Internet of Things are so touching people’s hearts. Dr. Sugaya has work experiences in both industry and academia, with tremendous knowledge on how to combine research findings and practical applications in the sweet spots.
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Maryam
Alimardani

Associate Professor, CSAI
Tilburg University
Dr. Alimardani is a scientist and educator who combines her passion for robots and neuroscience in her research. She spent many years in Japan, the land of robots, before moving to the Netherlands. When she is not coding or writing, you can find her gardening or doing Yoga.
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ramana
vinjamuri

Assistant Professor, CSEE
University of Maryland Baltimore
NSF award-winning hero in dimensionality reduction in control and coordination of human hand, Dr. Vinjamuri graduated from University of Pittsburgh with PhD in BCI and neuroprosthesis. During his daily life, he is an enthusiastic researcher and prize-winning teacher. His dream is to decipher the working principles of complex neuromuscular control, to one day bring the most intuitive and simplest human-machine interface to our society.
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Waiman
Meinhold

Postdoc, ME
Georgia Institute of Technology
Waiman is a postdoc in mechanical engineering at Georgia Tech. His main research interests are in healthcare robotics, specifically focused in MRI and rehabilitation. Outside (and in) the lab he enjoys designing and building things.
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Jun
Ueda

Professor, ME
Georgia Institute of Technology
Dr. Ueda is a scientist and inventor, trailblazing his research from Japan to the US, blending the mysterious Japanese craftsmanship and the western critical thinking to build unique bio-inspired sensing, actuation and control algorithms for effective integration of intelligent human-robotic systems. His achievements have gained several prestigious international recognitions, including the recent Nagamori Award.
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Jennifer
Molnar

PhD Candidate, ROBOTICS
Georgia Institute of Technology | Facebook
Jennifer Molnar is a PhD student in Robotics at Georgia Tech with a passion for the movement arts. When she's not fire spinning, rock climbing, or playing piano, she's outside watching animals and plants in the woods and trying to figure out how to make robots that subtle and effective.
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Jeremiah
Robison

CEO
CIONIC
As a father with a daughter diagnosed with cerebral palsy, Jeremiah founded CIONIC and introduced the first FDA-cleared Cionic Neural Sleeve, combining powerful adaptive algorithms, sensing, analysis and augmentation into a wearable garment to help individual's mobility needs. Jeremiah graduated with BS and MS from Computer Science at Stanford, with 20 years experience in product innovation at Apple, Openwave Systems, Slide, and Jawbone. Superpowering the human body is his dedicated lifetime mission.
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Event Schedule

9 Oct
14:00
Ker-Jiun Wang

Opening Remarks & Introduction to the 10 Principles of NeuroDesign in HRI

Ker-Jiun Wang, University of Pittsburgh, USA
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14:30
Midori Sugaya

Robot with Emotion : Neural and Autonomic Nerve Analysis of Human Apply to HRI

Midori Sugaya, Shibaura Institute of Technology, Japan
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15:00
Maryam Alimardani

Brain-Computer Interfaces for Improved Engagement and Learning in HRI

Maryam Alimardani, Tilburg University, Netherlands
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15:30
Ramana Vinjamuri

On the Role of Synergy-Based Human-Machine Interfaces in HRI

Ramana Vinjamuri, University of Maryland, Baltimore, USA
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16:00
coffee

Coffee Break

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16:30
Jennifer Molnar

Controlling Non-Anthropomorphic Hands

Jennifer Molnar, Georgia Institute of Technology, USA
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17:00
Waiman Meinhold
Waiman Meinhold, Georgia Institute of Technology, USA

A Smart System for Improved Tendon Reflex Stimulation Utility

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17:30
Jeremiah Robison

Fireside chat with Jeremiah Robison, founder and CEO of CIONIC

Jeremiah Robison, CIONIC, USA
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18:00
Ker-Jiun Wang

Panel Discussion

All experts
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18:30
microphone

Closing Remarks

...
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    Organizers     

No. 1

DR. Ker-jiun Wang

Bioengineering
University of Pittsburgh
No. 2

Dr. Zhi-Hong Mao

ECE & BIOEngineering
University of Pittsburgh
No. 3

Dr. Midori Sugaya

CSE
Shibaura Institute of Technology

HRI and Neuroscience at Scale

Innovation is hard. The core innovation is rooted in a scientific discovery that requires additional technical de-risking, finding profitable and sustainable solutions that meet the target needs. Neurodesign in HRI for a better “brain-centered experience” provides a sticky glue connecting the technologies and the end-users, changing the people’s behaviors to accept the new tech and finding the real use cases to apply the tech. Through hosting this workshop, we hope the HRI researchers and the neuroscientists could bring their groundbreaking research to the real world with more impact. The world needs science at scale.
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Get Tickets

 October 9, 2022  
14:00 - 18:30 (CET) , Online

IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2022)
General info
kew88@pitt.edu
Get Tickets — £599
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About

overview
The IEEE SMC 2022 workshop on “NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist” provides a mind-blowing, all-in-one forum to address the issues of how to transform HRI-related lab researches into practical consumer applications by using neuroscience and behavioral psychology principles and/or approaches, such that the designed human-robot interaction strategies would be so attractive and engaging which comply to our brain’s neural perception and cognitive processes, and therefore to overcome the barriers of social adoptions of using robots in every corner of our society.
What will be addressed?
The NeuroDesign lies at the intersection of applied neuroscience, cognitive science, psychology, in conjunction with machine learning and design thinking methodologies, to produce better customer experience and engagement in HRI. This workshop will provide a series of lectures from the latest advancement of HRI and Neuro/Brain-technology research to the design thinking and brain-centric product development, as well as the commercialization strategies specifically tailored to the HRI & Neurotech products to solve the real-world problems. The topics will cover: (1) How to use neuroscience research tools such as fMRI, EEG and fNIRS to understand the brain functions underlying specific HRI strategy, and how the design thinking could help us modify the interaction dynamics between brain and machines. (2) The insights gained from the iterative developmental process may help us design better human, brain and machine input/output (I/O) interfaces which could merge human and robot symbiotically in a closed-loop system. We will discuss the design of invasive or non-invasive interfaces by using smart wearables, exoskeleton robots, or implant devices to observe brainwave, physiological signals and/or mechanical movement of our body; electrical-magnetic neurofeedback devices (tDCS, tMS, NMES, etc.) to stimulate the brain or muscular peripheral nerves in order to regulate the human emotional and behavioral states. (3) We will also focus on the hardware and software co-design that weaves the optimal machine learning/AI algorithms into the fabric of better user experience (especially the best brain’s experience in perception and cognition).
interested areas:
• Affective Computing
• Wearable Devices/Robots
• Haptics and Tele-operation
• Pervasive-Ubiquitous Computing
• Computer Vision
• Speech/Gesture Recognition
• Big Data, AI & Machine Learning.
• Brain-Computer/Machine Interface
• Biometric Information Processing
• VR/AR & Metaverse
• Social Robot
• Cyborg and Bionic System
• Healthcare Robotics
• Exoskeleton and Rehabilitation Robot
• Assistive Technology/Devices
• Human-Centered Design
• Entrepreneurship in Robotics
• RoboEthics