the Sixth International Symposium on Intelligent Robotic Systems (ISoIRS 2026)
★CONTACT US
Sukki Jiang
Website: https://www.isoirs.org/
Email: contact@isoirs.org
Tel: 028-85575979 (Mainland)
+86 28 85575979 (International)
Address: University of Electronic Science and Technology of China, Qingshuihe Campus: No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, China
★Welcome to ISoIRS 2026
Today, the AI large model is evolving towards the physically-aware world-based model, spawning embodied-AI robotics. Against this backdrop, the Sixth International Symposium on Intelligent Robotic Systems (ISoIRS 2026) brings together international researchers and engineers to share their R&D findings, address key challenges, and exchange practical experiences in intelligent robotics, adopting a systems approach. With an interdisciplinary perspective and industrial focus, ISoIRS 2026 will facilitate international dialogue on cutting-edge issues in the field.
★Publication Information
Registered and presented full papers will be included in the ISoIRS 2026 digital conference proceedings and submitted to major citation databases (including, but not limited to Ei Compendex and Scopus) for review and indexing.
★Call for papers (https://www.isoirs.org/cfp.html)
Topics of Interest include but not limited to:
▶ Core Intelligent Technologies and Algorithms
Artificial Intelligence
Computational Intelligence
Expert Systems and Knowledge-Based Systems
Hybrid Learning Models and Methods
Reinforcement Machine Learning
▶ Intelligent Robot Systems and Components
Robot Mechanisms and Design
Robot Sensors and Actuators
Robot AI Chips
Neural Processing Units (NPU) and Controllers
Robot Communication and 5G/6G Systems
▶ Application-Specific Intelligent Robots
Agricultural Robotics
Construction Robots
Intelligent Industrial Robotics
Intelligent Manufacturing Systems
Home, Assistive and Service Robots
▶ Intelligent Robot Motion, Interaction and Control
Robot Motion Analysis, Planning and Control
Modelling, Simulation and Design for Robots
Intelligent Control Systems
Learning and Adaptation
Robot Intelligence and Learning
Robot Sensor Fusion
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zoekwong
Posted 22-11-2024 on 19:34:11
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