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Proceedings of the 24th international conference on Autonomous Agents and Multiagent Systems

作者： Tahsin Tariq Banna Sejuti Rahman Mohammad Tareq Robotics & Mechatronics Engineering University of Dhaka Dhaka Bangladesh Accounting & Information Systems University of Dhaka Dhaka Bangladesh

ISBN: (纸本)9798400714269

As robots become increasingly integrated into human life, personalizing human-robot interactions (HRI) is crucial for improving user acceptance, engagement, and interaction quality. However, personalizing HRI poses a unique challenge due to the diversity of human personality traits. This paper proposes a method that leverages large language models (LLMs) to dynamically tailor robot conversations according to the Big Five (OCEAN) personality traits. Our novelty lies in using user personality traits to shape robots' verbal responses and implementing contextual action generation for gestures. This study addresses two primary research questions: (1) Does adapting robots' verbal responses based on user personality traits improve communication satisfaction? (2) How does the addition of context-appropriate gestures further enhance user satisfaction? We used Goldberg's personality trait measurement scale (1992) to assess 26 participants who engaged in conversations with an LLM-powered Pepper robot on various topics. The quality of these interactions was self-reported using a revised version of Hecht's (1978) conversation satisfaction scale. Three experimental conditions were conducted: (i) Baseline: Standard LLM conversation, (ii) Personality-congruent: LLM-adjusted dialogue based on personality of participants, and (iii) Enhanced interaction: Personality adaptation plus dynamic gestures. For the third condition, we implemented contextually appropriate pre-defined animations and generated novel gestures by computing joint angle values in real time. Statistical analysis using ANOVA revealed significant differences in communication satisfaction across the three conditions (F=13.41, p<.001). Post-hoc analyses using Šidák's multiple comparison test showed significant pairwise differences: Condition 2 vs. 1: Δ Δmean 4.42, p = 0.02; Condition 3 vs. 1: Δ Δmean 8.23, p < 0.01; Condition 3 vs. 2: Δ Δmean 3.80, p = 0.05. These results demonstrate that both personality-congruent inter

关键词： HRI

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Pushing the Boundaries of AI Chips: From Monolithic 3D CMOS to Cryogenic Computing

Pushing the Boundaries of AI Chips: From Monolithic 3D CMOS ...

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2025 Design, Automation and Test in Europe conference, DATE 2025

作者： Benkhelifa, Mahdi Parihar, Shivendra S. Kar, Anirban Pahwa, Girish Chauhan, Yogesh S. Amrouch, Hussam Technical University of Munich Tum School of Computation Information and Technology Munich Institute of Robotics and Machine Intelligence Ai Processor Design Munich Germany University of California Department of Electrical Engineering and Computer Sciences Berkeley United States National Yang Ming Chiao Tung University International College of Semiconductor Technology Taiwan Indian Institute of Technology Kanpur India

ISBN: (纸本)9783982674100

As CMOS scaling approaches its fundamental limits, the explosive rise of AI and LLMs has unveiled profound bottlenecks in computing architectures. This paper presents two groundbreaking paradigms poised to reshape the landscape of high-performance computing and meet the surging demands of AI-driven workloads. The first paradigm is 3D monolithic integration, a revolutionary approach that achieves unprecedented logic density through Complementary FETs (CFETs), where pMOS and nMOS transistors are vertically stacked, and a dramatic expansion of on-chip memory capacity by integrating memory layers atop logic transistors. The second paradigm leverages the transformative potential of operating chips at cryogenic temperatures where transistors exhibit enhanced performance, and parasitic resistances are substantially minimized. These advancements hold the promise of redefining computing efficiency and performance for the AI era. © 2025 EDAA.

关键词： BiCMOS technology

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The Robot Household Marathon Experiment

The Robot Household Marathon Experiment

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IEEE international conference on robotics and Automation (ICRA)

作者： Gayane Kazhoyan Simon Stelter Franklin Kenghagho Kenfack Sebastian Koralewski Michael Beetz Institute for Artificial Intelligence University of Bremen Germany

In this paper, we present an experiment, designed to investigate and evaluate the scalability and the robustness aspects of mobile manipulation. The experiment involves performing variations of mobile pick and place actions and opening/closing environment containers in a human household. The robot is expected to act completely autonomously for extended periods of time. We discuss the scientific challenges raised by the experiment as well as present our robotic system that can address these challenges and successfully perform all the tasks of the experiment. We present empirical results and the lessons learned as well as discuss where we hit limitations.

关键词： Automation Scalability conferences Containers Robustness Task analysis Robots

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A Survey of robotics and Emotion: Classifications and Models of Emotional Interaction 29

A Survey of Robotics and Emotion: Classifications and Models...

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29th IEEE international conference on Robot and Human Interactive Communication (IEEE RO-MAN)

作者： Savery, Richard Weinberg, Gil Georgia Tech Ctr Mus Technol Atlanta GA 30332 USA

ISBN: (纸本)9781728160757

As emotion plays a growing role in robotic research it is crucial to develop methods to analyze and compare among the wide range of approaches. To this end we present a survey of 1427 IEEE and ACM publications that include robotics and emotion. This includes broad categorizations of trends in emotion input analysis, robot emotional expression, studies of emotional interaction and models for internal processing. We then focus on 232 papers that present internal processing of emotion, such as using a human's emotion for better interaction or turning environmental stimuli into an emotional drive for robotic path planning. We conducted constant comparison analysis of the 232 papers and arrived at three broad categorization metrics- emotional intelligence, emotional model and implementation- each including two or three subcategories. The subcategories address the algorithm used, emotional mapping, history, the emotional model, emotional categories, the role of emotion, the purpose of emotion and the platform. Our results show a diverse field of study, largely divided by the role of emotion in the system, either for improved interaction, or improved robotic performance. We also present multiple future opportunities for research and describe intrinsic challenges common in all publications.

关键词： Surveys

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10th international conference on Design, User Experience, and Usability, DUXU 2021, held as part of the 23rd international conference, HCI international 2021

10th International Conference on Design, User Experience, an...

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10th international conference on Design, User Experience, and Usability, DUXU 2021, held as part of the 23rd international conference, HCI international 2021

ISBN: (纸本)9783030782207

The proceedings contain 130 papers. The special focus in this conference is on Design, User Experience, and Usability. The topics include: Envisioning Educational Product User eXperience Through Participatory Design Practice;operational Usability Heuristics: A Question-Based Approach for Facilitating the Detection of Usability Problems;integration of User Experience and Agile Techniques for Requirements analysis: A Systematic Review;is Your App Conducive to Behaviour Change? A Novel Heuristic Evaluation;understanding Customer Value Propositions Through the Lens of Value Equations Method: A Systematic Approach;Developing and Validating a Set of Usability and Security Metrics for ATM Interfaces;challenges and Opportunities on the Application of Heuristic Evaluations: A Systematic Literature Review;consumer Experience Research Based on the Background of Experience Economy and Digital Economy;a Study on Scale Construction of Adjective Pairs for Evaluating Audiovisual Effects in Video Games;A Framework Based on UCD and Scrum for the Software Development Process;a Review of Automated Website Usability Evaluation Tools: Research Issues and Challenges;web Analytics for User Experience: A Systematic Literature Review;validation of a Questionnaire to Evaluate the Usability in the Peruvian Context;design Research on Visualization of Life Behavior and Rhythm;YERKISH: A Visual Language for Computer-Mediated Communication by an Ape;the Canadian Cultural Diversity Dashboard: Data Storytelling and Visualization for the Cultural Sector;visual Writing at the State-of-the-Art?;expressions of Data: Natural State, Specific Application, and General pattern;pasigraphy: Universal Visible Languages;emojitaliano: A Social and Crowdsourcing Experiment of the Creation of a Visual international Language.

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10th international conference on Design, User Experience, and Usability, DUXU 2021, held as part of the 23rd international conference, HCI international 2021

10th International Conference on Design, User Experience, an...

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10th international conference on Design, User Experience, and Usability, DUXU 2021, held as part of the 23rd international conference, HCI international 2021

ISBN: (纸本)9783030782269

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10th international conference on Design, User Experience, and Usability, DUXU 2021, held as part of the 23rd international conference, HCI international 2021

10th International Conference on Design, User Experience, an...

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10th international conference on Design, User Experience, and Usability, DUXU 2021, held as part of the 23rd international conference, HCI international 2021

ISBN: (纸本)9783030782238

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A People-Oriented Designing for pattern Carving Intelligent Control Integrated Device

A People-Oriented Designing for Pattern Carving Intelligent ...

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2021 international conference on Computer Technology, Information Engineering and Electron Materials, CTIEEM 2021

作者： Li, Yan Fang, Shuguang School of Internet of Things Technology Wuxi Vocational Institute of Commerce Jiangsu Wuxi China

Aiming at solving the problems of weak human-computer interaction, poor scalability, low system integration, and lack of information management capabilities of the original engraving equipment, a set of pattern engraving intelligence integrated management and control device has been developed. The device flexibly integrates the main processes of engraving machining, detection, sorting, etc, and realizes the automatic machining of multi-mode engraving tasks such as on-site touch screen delivery, remote machine vision collection, network PC communication, and mobile APP sending. It can identify and evaluate the characteristic parameters of engraved final products over non-contact machine vision;and use the SCARA robot for intelligent sorting and palletizing of engraved final products. In addition,its information management platform can realize real-time monitoring of production status and production data storage and statistical analysis. In general, the device realizes the intelligent upgrade and informatization transformation of traditional engraving equipment. © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 Licence.

关键词： Sorting

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Adversarial Skill Learning for Robust Manipulation

Adversarial Skill Learning for Robust Manipulation

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IEEE international conference on robotics and Automation (ICRA)

作者： Pingcheng Jian Chao Yang Di Guo Huaping Liu Fuchun Sun Beijing National Research Center for Information Science and Technology Institute for Artificial Intelligence Tsinghua University Beijing China

Deep reinforcement learning has made significant progress in robotic manipulation tasks and it works well in the ideal disturbance-free environment. However, in a real-world environment, both internal and external disturbances are inevitable, thus the performance of the trained policy will dramatically drop. To improve the robustness of the policy, we introduce the adversarial training mechanism to the robotic manipulation tasks in this paper, and an adversarial skill learning algorithm based on soft actor-critic (SAC) is proposed for robust manipulation. Extensive experiments are conducted to demonstrate that the learned policy is robust to internal and external disturbances. Additionally, the proposed algorithm is evaluated in both the simulation environment and on the real robotic platform.

关键词： Training Automation conferences Reinforcement learning Robustness Task analysis Robots

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人工智能对进口扩张的影响研究:来自中国微观企业层面的证据

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世界经济研究 2023年第11期 11-25,M0002页

作者：辛大楞邱悦山东师范大学经济学院

数字经济时代积极探究人工智能对企业进口扩张的影响对于推动贸易强国建设和构建双循环新发展格局具有重要意义。文章构建理论框架解析人工智能对企业进口扩张的影响机制。通过采用国际机器人联合会(IFR)发布的工业机器人数据和微观企... 详细信息

数字经济时代积极探究人工智能对企业进口扩张的影响对于推动贸易强国建设和构建双循环新发展格局具有重要意义。文章构建理论框架解析人工智能对企业进口扩张的影响机制。通过采用国际机器人联合会(IFR)发布的工业机器人数据和微观企业数据,实证考察人工智能对企业进口扩张的实际影响及其作用渠道。研究结果表明,人工智能显著促进了企业进口扩张。该结论在经过替换关键变量、选取合适的工具变量进行2SLS估计、更换估计方法、调整样本范围和控制多维固定效应等多重稳健性测试后仍然成立。机制检验发现,人工智能可以缓解企业融资约束、提升企业技能水平,即通过融资效应和技能升级效应促进企业进口扩张。异质性分析显示,人工智能对企业进口扩张的影响表现出强烈的产权性质、规模和区位异质性。人工智能对非国有企业、小型企业以及沿海地区企业进口扩张的带动作用更为强烈。文章通过采用Kaplan-Meier生存曲线以及Cloglog生存模型法考察人工智能与进口稳定性之间的关系,发现企业对人工智能技术的应用可以有效延长进口持续时间,维持进口贸易关系稳定性。文章拓展了企业进口影响因素的研究视角,也为政府通过积极发展人工智能技术来提升中国进口供应链稳定性和助推外贸高质量发展提供了重要政策启示。

关键词：人工智能进口扩张融资效应技能升级效应

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