Submission Deadline: June 30, 2026
AI-Empowered Perception, Interaction, and Autonomous Operation for Assistive, Service, and Rehabilitation Robots
人工智能赋能的辅助、服务与康复机器人感知、交互与自主作业
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| Huanghe Zhang |
Chuanyan Wu |
Yunce Zhang |
Jin Liu |
| Shandong University, China |
Shandong Management University, China |
Shandong University, China |
China University of Mining and Technology, China |
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| Keywords: |
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- AI-Empowered Robotics (人工智能赋能机器人)
- Multimodal Perception (多模态感知)
- Human-Robot Interaction (人机交互)
- Autonomous Operation (自主作业)
- Robotic Manipulation (机器人操作)
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| Summary: |
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- AI-empowered robots are increasingly required to operate in complex and dynamic environments, including assistive services, elderly care, rehabilitation training, industrial production, inspection, emergency response, and special robotic applications. Recent advances in multimodal perception, vision-language interaction, knowledge-driven reasoning, edge intelligence, and autonomous operation provide new opportunities for robots to understand human intentions, adapt to changing scenarios, and perform reliable navigation, manipulation, and task execution.
This special session aims to bring together researchers and practitioners working on AI-enabled robotic systems across service, assistive, rehabilitation, industrial, and special robot domains. Topics of interest include multimodal perception, human-robot interaction, gesture and skeleton-based control, autonomous navigation, robotic manipulation, visual question answering, knowledge-guided decision-making, out-of-distribution generalization, continual learning, edge deployment, and open robotic platforms. The session will provide a forum for discussing both algorithmic advances and practical system integration, promoting the development of intelligent robots that are adaptive, interactive, and deployable in real-world applications.
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- 人工智能赋能的机器人正越来越多地应用于复杂动态环境,包括辅助服务、养老照护、康复训练、工业生产、巡检作业、应急响应以及特种机器人应用等场景。多模态感知、视觉语言交互、知识驱动推理、边缘智能和自主作业等技术的发展,为机器人理解人类意图、适应变化环境,并可靠完成自主导航、操作和任务执行提供了新的机遇。
本专题旨在汇聚服务机器人、辅助机器人、康复机器人、工业机器人和特种机器人等方向的研究人员与工程实践者,围绕人工智能赋能的机器人系统开展交流。专题关注方向包括多模态感知、人机交互、手势与人体骨骼控制、自主导航、机器人操作、视觉问答、知识驱动决策、分布外泛化、持续学习、边缘部署以及开源机器人平台等。本专题将为算法创新与系统集成实践提供交流平台,推动智能机器人向更强适应性、更自然交互和更高真实场景部署能力发展。
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