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Vision-language models (VLMs) have recently emerged as powerful representation learning systems that align visual observations with natural language concepts, offering new opportunities for semantic reasoning in safety-critical autonomous…

计算机视觉与模式识别 · 计算机科学 2026-02-19 Ross Greer , Maitrayee Keskar , Angel Martinez-Sanchez , Parthib Roy , Shashank Shriram , Mohan Trivedi

Humans navigate unfamiliar environments using episodic simulation and episodic memory, which facilitate a deeper understanding of the complex relationships between environments and objects. Developing an imaginative memory system inspired…

计算机视觉与模式识别 · 计算机科学 2024-12-30 Yiyuan Pan , Yunzhe Xu , Zhe Liu , Hesheng Wang

Human-robot collaboration is an essential research topic in artificial intelligence (AI), enabling researchers to devise cognitive AI systems and affords an intuitive means for users to interact with the robot. Of note, communication plays…

人工智能 · 计算机科学 2021-08-09 Qi Wu , Cheng-Ju Wu , Yixin Zhu , Jungseock Joo

While significant research has focused on developing embodied reasoning capabilities using Vision-Language Models (VLMs) or integrating advanced VLMs into Vision-Language-Action (VLA) models for end-to-end robot control, few studies…

Recent advances in haptic hardware and software technology have generated interest in novel, multimodal interfaces based on the sense of touch. Such interfaces have the potential to revolutionize the way we think about human computer…

Background: In medical and health professions education (HPE), AI is increasingly used to assess clinical competencies, including via virtual standardized patients. However, most evaluations rely on AI-human interrater reliability and lack…

Child helpline training often relies on human-led roleplay, which is both time- and resource-consuming. To address this, rule-based interactive agent simulations have been proposed to provide a structured training experience for new…

人机交互 · 计算机科学 2025-09-23 Mohammed Al Owayyed , Adarsh Denga , Willem-Paul Brinkman

Despite remarkable progress in Vision-Language Navigation (VLN), existing benchmarks remain confined to fixed, small-scale datasets with naive physical simulation. These shortcomings limit the insight that the benchmarks provide into…

计算机视觉与模式识别 · 计算机科学 2025-12-23 Sihao Lin , Zerui Li , Xunyi Zhao , Gengze Zhou , Liuyi Wang , Rong Wei , Rui Tang , Juncheng Li , Hanqing Wang , Jiangmiao Pang , Anton van den Hengel , Jiajun Liu , Qi Wu

Equipping embodied agents with commonsense is important for robots to successfully complete complex human instructions in general environments. Recent large language models (LLM) can embed rich semantic knowledge for agents in plan…

计算机视觉与模式识别 · 计算机科学 2023-07-07 Zhenyu Wu , Ziwei Wang , Xiuwei Xu , Jiwen Lu , Haibin Yan

This paper develops Virtual Speech Therapist (VST), an intelligent agent-based platform that streamlines stuttering assessment and delivers customized therapy planning through automated and adaptive AI-driven workflows. VST integrates…

This paper brings into discussion some of the most relevant technological challenges involving haptic systems in medical education. One of these challenges is choosing the suitable haptic hardware, API or framework for developing a…

人机交互 · 计算机科学 2018-11-20 Felix G. Hamza-Lup , Dorin M. Popovici , Crenguta M. Bogdan

In this paper we report on a study conducted with a group of older adults in which they engaged in participatory design workshops to create a VR ATM training simulation. Based on observation, recordings and the developed VR application we…

Delivering intelligent and adaptive navigation assistance in augmented reality (AR) requires more than visual cues, as it demands systems capable of interpreting flexible user intent and reasoning over both spatial and semantic context.…

人机交互 · 计算机科学 2025-08-26 Hsuan-Kung Yang , Tsu-Ching Hsiao , Ryoichiro Oka , Ryuya Nishino , Satoko Tofukuji , Norimasa Kobori

In response to the increasing mental health challenges faced by college students, we sought to understand their perspectives on how AI applications, particularly Large Language Models (LLMs), can be leveraged to enhance their mental…

人机交互 · 计算机科学 2024-09-27 Owen Xingjian Zhang , Shuyao Zhou , Jiayi Geng , Yuhan Liu , Sunny Xun Liu

Large language models (LLMs) are increasingly being adopted as the cognitive core of embodied agents. However, inherited hallucinations, which stem from failures to ground user instructions in the observed physical environment, can lead to…

We aim to evaluate Large Language Models (LLMs) for embodied decision making. While a significant body of work has been leveraging LLMs for decision making in embodied environments, we still lack a systematic understanding of their…

Acupuncture is a form of medicine that involves inserting needles into targeted areas of the body and requires knowledge of both Traditional Chinese Medicine (TCM) and Evidence-Based Medicine (EBM). The process of acquiring such knowledge…

人机交互 · 计算机科学 2023-12-14 Menghe Zhang , Chen Chen , Matin Yarmand , Nadir Weibel

Millions of people worldwide rely on alternative and augmentative communication devices to communicate. Visual scene displays (VSDs) can enhance communication for these individuals by embedding communication options within contextualized…

Large language models (LLMs) have had a significant impact on diverse research domains, including medicine and healthcare. However, the potential of LLMs as copilots in medical education remains underexplored. Current AI-assisted…

人工智能 · 计算机科学 2024-08-27 Hao Wei , Jianing Qiu , Haibao Yu , Wu Yuan

As embodied agents become central to VR, telepresence, and digital human applications, their motion must go beyond speech-aligned gestures: agents should turn toward users, respond to their movement, and maintain natural gaze. Current…

计算机视觉与模式识别 · 计算机科学 2026-02-23 Evonne Ng , Siwei Zhang , Zhang Chen , Michael Zollhoefer , Alexander Richard