scholarly journals A Power Assistant Algorithm Based on Human–Robot Interaction Analysis for Improving System Efficiency and Riding Experience of E-Bikes

2021 ◽  
Vol 13 (2) ◽  
pp. 768
Author(s):  
Deok Ha Kim ◽  
Dongun Lee ◽  
Yeongjin Kim ◽  
Sungjun Kim ◽  
Dongjun Shin
Keyword(s):  
Energy Consumption ◽  
Interaction Analysis ◽  
Rear Wheel ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Daily Lives ◽  
Electric Bicycle ◽  
Leg Kinematics ◽  
Efficient Power ◽  
Power Assistance

As robots are becoming more accessible in our daily lives, the interest in physical human–robot interaction (HRI) is rapidly increasing. An electric bicycle (E-bike) is one of the best examples of HRI, because a rider simultaneously actuates the rear wheel of the E-bike in close proximity. Most commercially available E-bikes employ a control methodology known as a power assistant system (PAS). However, this type of system cannot offer fully efficient power assistance for E-bikes since it does not account for the biomechanics of riders. In order to address this issue, we propose a control algorithm to increase the efficiency and enhance the riding experience of E-bikes by implementing the control parameters acquired from analyses of human leg kinematics and muscular dynamics. To validate the proposed algorithm, we have evaluated and compared the performance of E-bikes in three different conditions: (1) without power assistance, (2) assistance with a PAS algorithm, and (3) assistance with the proposed algorithm. Our algorithm required 5.09% less human energy consumption than the PAS algorithm and 11.01% less energy consumption than a bicycle operated without power assistance. Our algorithm also increased velocity stability by 11.89% and acceleration stability by 27.28%, and decreased jerk by 12.36% in comparison to the PAS algorithm.

Human–Robot Interaction Analysis for a Smart Walker for Elderly: The ACANTO Interactive Guidance System

2019 ◽  
Vol 12 (2) ◽  
pp. 479-492 ◽  
Author(s):  
Francesco Ferrari ◽  
Stefano Divan ◽  
Cristina Guerrero ◽  
Fabiano Zenatti ◽  
Roberta Guidolin ◽  
...  
Keyword(s):  
Interaction Analysis ◽  
Human Robot Interaction ◽  
Guidance System ◽  
Robot Interaction ◽  
Smart Walker

scholarly journals Adopting the intentional stance toward natural and artificial agents

2019 ◽  
Author(s):  
Jairo Pérez-Osorio ◽  
Agnieszka Wykowska
Keyword(s):  
Humanoid Robots ◽  
Mental States ◽  
Review Literature ◽  
Human Robot Interaction ◽  
Cultural Norms ◽  
Intentional Stance ◽  
Artificial Agents ◽  
Robot Interaction ◽  
Daily Lives ◽  
Theoretical Considerations

In our daily lives, we need to predict and understand others’ behaviour in order to navigate through our social environment. Predictions concerning other humans’ behaviour usually refer to their mental states, such as beliefs or intentions. Such a predictive strategy is called adoption of the intentional stance. In this paper, we review literature related to the concept of intentional stance from the perspectives of philosophy, psychology, human development, culture and human-robot interaction. We propose that adopting the intentional stance might be a central factor in facilitating social attunement with artificial agents. The paper first reviews the theoretical considerations regarding the intentional stance, and examines literature related to the development of intentional stance across the life span. Subsequently, it discusses cultural norms as grounded in the intentional stance and finally, it focuses on the issue of adopting the intentional stance towards artificial agents, such as humanoid robots. At the dawn of the artificial intelligence era, the question of how (and when) we predict and explain robots’ behaviour by referring to mental states is of high interest. The paper concludes with the discussion of the ethical consequences of robots towards which we adopt the intentional stance, and sketches future directions in research on this topic.

scholarly journals Designing Acceptable Robots for Assisting Older Adults: A Pilot Study on the Willingness to Interact

2021 ◽  
Vol 18 (20) ◽  
pp. 10686
Author(s):  
Roberta Bevilacqua ◽  
Elisa Felici ◽  
Filippo Cavallo ◽  
Giulio Amabili ◽  
Elvira Maranesi
Keyword(s):  
Older Adults ◽  
Mixed Method ◽  
Interaction Analysis ◽  
Human Robot Interaction ◽  
Assistive Robotics ◽  
Service Robot ◽  
Emotional Expressions ◽  
Nonverbal Behaviors ◽  
Robot Interaction ◽  
Method Approach

The aim of this paper was to explore the psychosocial determinants that lead to acceptability and willingness to interact with a service robot, starting with an analysis of older users’ behaviors toward the Robot-Era platform, in order to provide strategies for the promotion of social assistive robotics. A mixed-method approach was used to collect information on acceptability, usability, and human–robot interaction, by analyzing nonverbal behaviors, emotional expressions, and verbal communication. The study involved 35 older adults. Twenty-two were women and thirteen were men, aged 73.8 (±6) years old. Video interaction analysis was conducted to capture the users’ gestures, statements, and expressions. A coded scheme was designed on the basis of the literature in the field. Percentages of time and frequency of the selected events are reported. The statements of the users were collected and analyzed. The results of the behavioral analysis reveal a largely positive attitude, inferred from nonverbal clues and nonverbal emotional expressions. The results highlight the need to provide robotic solutions that respect the tasks they offer to the users It is necessary to give older consumers dedicated training in technological literacy to guarantee proper, long-lasting, and successful use.

scholarly journals Design-Centered HRI Governance for Healthcare Robots

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Yueh-Hsuan Weng ◽  
Yasuhisa Hirata
Keyword(s):  
Decision Making ◽  
Human Robot Interaction ◽  
Robotic Systems ◽  
Privacy Risk ◽  
Robot Interaction ◽  
Daily Lives ◽  
Ethical Concerns ◽  
Recent Developments ◽  
And Robotics

Recent developments have shown that not only are AI and robotics growing more sophisticated, but also these fields are evolving together. The applications that emerge from this trend will break current limitations and ensure that robotic decision making and functionality are more autonomous, connected, and interactive in a way which will support people in their daily lives. However, in areas such as healthcare robotics, legal and ethical concerns will arise as increasingly advanced intelligence functions are incorporated into robotic systems. Using a case study, this paper proposes a unique design-centered approach which tackles the issue of data protection and privacy risk in human-robot interaction.

Workload in Human-Robot Interaction: A Review of Manipulations and Outcomes

2009 ◽  
Author(s):  
Matthew S. Prewett ◽  
Kristin N. Saboe ◽  
Ryan C. Johnson ◽  
Michael D. Coovert ◽  
Linda R. Elliott
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction

Biomimetic, sociable robots for human-robot interaction

2010 ◽  
Author(s):  
Eleanore Edson ◽  
Judith Lytle ◽  
Thomas McKenna
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction
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