8th CONF-CDS

International Conference on Natural Language Processing, Vision and Robotics

Submission Deadline Notification of Acceptance Submission Email Download
September 16, 2026 7-20 workdays sympo_nlpvr@confcds.org Manuscript Template

About

Background

The International Conference on Natural Language Processing, Vision and Robotics (NLPVR 2026) aims to establish a high-level interdisciplinary platform for global scholars, engineers, and industry leaders to exchange ideas and foster collaboration. The conference focuses on the convergence of artificial intelligence with natural language processing, computer vision, and robotics, exploring both theoretical advancements and practical applications.

Key topics include intelligent language understanding and generation, multimodal perception and vision-based decision-making, autonomous robotic systems, human–robot interaction, and cross-domain innovations in AI-driven automation. NLPVR 2026 will address challenges such as robust perception in dynamic environments, adaptive learning for intelligent agents, and efficient collaboration between humans and machines.

Goal/Rationale

NLPVR 2026 serves as a premier interdisciplinary forum that bridges the synergies between natural language processing, computer vision, and intelligent robotics. Our mission is to create a collaborative environment where linguists, computer scientists, and robotics engineers can advance the development of context-aware, visually grounded, and action-driven intelligent systems. We look forward to welcoming you to a program featuring inspiring keynote speeches, technical paper sessions, and hands-on workshops designed to foster cross-pollination of ideas and shape the future of embodied AI and human-robot interaction.

Scope

This special symposium will focus on a range of interdisciplinary topics, including but not limited to:

  • Predictive modeling and intelligent energy management powered by AI
  • Novel approaches to AI-enhanced energy storage and optimization
  • Advanced machine learning and deep learning methods for system modeling, simulation, and optimization
  • Reinforcement learning, federated learning, and other intelligent algorithms for energy scheduling, resource allocation, and fault diagnosis
  • Optical sensing and vision-based AI for mechatronic systems, including photonic signal processing, optical feedback control, and AI-enhanced optical metrology
  • LiDAR, structured light, hyperspectral imaging, and vision-based environment understanding
  • Optical communication and optical sensing networks for multi-agent coordination and distributed intelligence
  • AI-enhanced optical diagnostics, real-time optical feedback for resilient control, and fault detection
  • Optical-based human-robot interaction and intent understanding in complex environments
  • Cognitive optical perception and adaptive decision-making in dynamic, unstructured scenes
  • LiDAR, structured light, hyperspectral imaging, and vision-based environment understanding
  • Optical communication and optical sensing networks for multi-agent coordination and distributed intelligence
  • AI-enhanced optical diagnostics, real-time optical feedback for resilient control, and fault detection
  • Optical-based human-robot interaction and intent understanding in complex environments
  • Cognitive optical perception and adaptive decision-making in dynamic, unstructured scenes
  • Integration of AI technologies into complex mechatronic systems and associated engineering challenges
  • Adaptive design and deployment of autonomous systems in extreme or uncertain environments
  • Industry standards, ethical considerations, and regulatory frameworks for AI-driven robotics and mechatronics

Publication

Accepted papers of this symposium will be published in SPIE - The International Society for Optical Engineering (ISSN: 0277-786X), and will be submitted to EI Compendex, Scopus, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

This special symposium is co-organized by CONF-CDS 2026 and NLPVR 2026, and will independently proceed the submission and publication process.

Please note that the publication policy may vary between different publishers. For details regarding the publication process, kindly refer to the policies of the respective publisher.