Spartan Daily, February 16, 2000

Volume 114, Issue 14https://scholarworks.sjsu.edu/spartandaily/9511/thumbnail.jp

Unfair and Deceptive Robots

Robots, like household helpers, personal digital assistants, automated cars, and personal drones are or will soon be available to consumers. These robots raise common consumer protection issues, such as fraud, privacy, data security, and risks to health, physical safety and finances. Robots also raise new consumer protection issues, or at least call into question how existing consumer protection regimes might be applied to such emerging technologies. Yet it is unclear which legal regimes should govern these robots and what consumer protection rules for robots should look like. The thesis of the Article is that the FTC’s grant of authority and existing jurisprudence make it the preferable regulatory agency for protecting consumers who buy and interact with robots. The FTC has proven to be a capable regulator of communications, organizational procedures, and design, which are the three crucial concepts for safe consumer robots. Additionally, the structure and history of the FTC shows that the agency is capable of fostering new technologies as it did with the Internet. The agency generally defers to industry standards, avoids dramatic regulatory lurches, and cooperates with other agencies. Consumer robotics is an expansive field with great potential. A light but steady response by the FTC will allow the consumer robotics industry to thrive while preserving consumer trust and keeping consumers safe from harm

Proceedings of the IJCAI-09 Workshop on Nonmonotonic Reasoning, Action and Change

Copyright in each article is held by the authors. Please contact the authors directly for permission to reprint or use this material in any form for any purpose.The biennial workshop on Nonmonotonic Reasoning, Action and Change (NRAC) has an active and loyal community. Since its inception in 1995, the workshop has been held seven times in conjunction with IJCAI, and has experienced growing success. We hope to build on this success again this eighth year with an interesting and fruitful day of discussion. The areas of reasoning about action, non-monotonic reasoning and belief revision are among the most active research areas in Knowledge Representation, with rich inter-connections and practical applications including robotics, agentsystems, commonsense reasoning and the semantic web. This workshop provides a unique opportunity for researchers from all three fields to be brought together at a single forum with the prime objectives of communicating important recent advances in each field and the exchange of ideas. As these fundamental areas mature it is vital that researchers maintain a dialog through which they can cooperatively explore common links. The goal of this workshop is to work against the natural tendency of such rapidly advancing fields to drift apart into isolated islands of specialization. This year, we have accepted ten papers authored by a diverse international community. Each paper has been subject to careful peer review on the basis of innovation, significance and relevance to NRAC. The high quality selection of work could not have been achieved without the invaluable help of the international Program Committee. A highlight of the workshop will be our invited speaker Professor Hector Geffner from ICREA and UPF in Barcelona, Spain, discussing representation and inference in modern planning. Hector Geffner is a world leader in planning, reasoning, and knowledge representation; in addition to his many important publications, he is a Fellow of the AAAI, an associate editor of the Journal of Artificial Intelligence Research and won an ACM Distinguished Dissertation Award in 1990

The Effect of Project ProHEART- Promoting Healthy Eating and Activity using Robot-assisted Training- on Healthy Eating Habits and Physical Activity in School-Aged Children

The objective of this study was to determine the effectiveness of a 6 week afterschool nutrition and physical activity intervention administered by a registered dietitian with the help of a humanoid robot targeting elementary school aged children aged 6-12 years. The study was conducted across four Young Men’s Christian’s Association (YMCA) sites in Miami-Dade County, Florida (N= 114, Mean age: 8.16 ±1.57 years) using a pretest-posttest quasi-experimental design via randomly assigned intervention (two sites; n=63) and comparison groups (two sites; n=51). The validated Coordinated Approach to Child Health (CATCH) kids club questionnaire and the validated Previous Day Physical Activity Recall (PDPAR) were used to assess nutrition and physical activity knowledge, attitudes/beliefs and behavior change. The Inbody 230 instrument (Biospace, California) was used to calculate body composition and weight. Body Mass Index (BMI) percentiles and associated BMI z-scores for age and gender were calculated based on the Center for Disease Control and Prevention (CDC) growth charts. Data measures were collected at baseline (week 0) and one-week post intervention (week 7). Statistical analysis included independent t-test, paired t-test, chi-squared test, Wilcoxon signed ranks test and logistic regression. Results indicated that nutrition knowledge score significantly increased from 67.43% ±21.03 to 81.31% ±18.47 in the intervention group (

Towards realizing robotic potential in future intelligent food manufacturing systems

This paper provides a comprehensive review of the robotic potential that is foreseen by researchers in designing future food manufacturing plant. The present day food handling and packaging setup is limited in capacity and output due to manual processing. An optimized protocol to fetch various ingredients and shape them in a final product by passing through various stages in an automated processing plant while simultaneously ensuring high quality and hygienic environment is merely possible by using robotized processing. The review also highlights the possibilities and limitations of introducing these high technology robots in the food sector. A comparison of several robots from different classes is listed with major technical parameters. However, as predicted, a food cyber-physical production system (CPPS) visualizes a closed loop system for the desired output keeping in view various constraints and risks. Human machine interface (HMI) for these machines complies with the industrial safety standards to provide a fail safe production cycle. Various new horizons in research and development of food robots are also highlighted in the upcoming industrial paradigm