Conference Information

ICACR 2026: International Conference on Automation, Control and Robotics

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Submission Date:
2026-09-10 Extended
Notification Date:
2026-10-10
Conference Date:
2026-10-16
Location:
Nanjing, China
Years:
10
Viewed: 21291   Tracked: 10   Attend: 2

Conference Partner Index (CP-I)

50.2 / 100
Ranked #1,577 of 5,693 conferences · Top 28%

#77 of 470 in Robotics & Control

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
65
Community attention (10%)
45
Public record completeness (15%)
35

Inputs used: Editions on record: 10 · Researchers following it here: 10 · Researchers who opened this page in the past 24 months: 17

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-02

Call For Papers

ICACR 2026 (International Conference on Automation, Control and Robotics) is an academic conference held in Nanjing, China on 2026-10-16. The paper submission deadline is 2026-09-10 (extended). Acceptance notifications are sent on 2026-10-10.

The topics of interests for submission include, but are not limited to: Track I: Intelligent Control Systems and Optimization • Genetic Algorithms • Fuzzy Control • Machine Learning in Control Applications • Distributed Control Systems • Evolutionary Computation and Control • Optimization Algorithms • Soft Computing • Neural Networks based Control Systems • Planning and Scheduling • Intelligent Fault Detection and Diagnosis • Reinforcement Learning in Control Systems • Multi-Agent Systems Control and Optimization • Cyber-Physical Systems (CPS) and Industrial IoT Control • Adaptive and Predictive Intelligent Control • AI-Driven Decision and Control Optimization • Robust and Fault-Tolerant Control Methods Track II: Signal Processing, Sensors, Systems Modelling and Control • Adaptive Signal Processing and Control • Environmental Monitoring and Control • Optimization Problems in Signal Processing • Signal Reconstruction • System Identification • Instrumentation Networks and Software • Time-frequency Analysis • Mechanical, Force and Tactile Sensors • Biologically-Inspired and Fusion Sensor • Intelligent System Modelling and Control • Modelling, Analysis and Control of Dynamical Systems • Edge Computing and IoT Sensor Data Processing • Deep Learning for Sensor Fusion and System Modelling • Predictive Maintenance and Health Management (PHM) • High-Precision Real-Time Signal Processing and Adaptive Filtering • Advanced Sensor Design and Bio-Inspired Sensor Fusion Track III: Robotics and Automation • Vision, Recognition and Reconstruction • Robot Design, Development and Control • Telerobotics and Teleoperation • Network Robotics • Autonomous Agents • Intelligent Transportation • Space and Underwater Robots • Human-Machine Interfaces • Collective and Social Robots • Humanoid Robots • Cognitive Approach for Robotics • Mechatronics Systems • Virtual and Augmented Reality in Robotics and Automation • Soft Robotics and Flexible Manipulation • Collaborative Robots (Cobots) Integration • Autonomous Mobile Robots and Intelligent Logistics • Robotics Ethics, Privacy, and Safety • Digital Twin for Robot Design, Simulation, and Control • AR/VR for Robot Operation Interfaces Track IV: Industrial Engineering, Production and Management • Supply Chain and Logistics Engineering • Virtual Enterprises and Interoperability • Production Planning, Scheduling and Control • Computer-based Manufacturing Technologies • Facilities Planning and Management • Quality Control and Management • Energy Efficiency and Green Manufacturing • Precision Engineering • Intelligent Manufacturing and Automation • Management in Industry • Manufacturing Systems Engineering • Systems Modelling, Optimization and Simulation and Performance Evaluation • Cost and Value Engineering • Digital Twin and Smart Manufacturing (Industry 4.0) • Industrial AI and Intelligent Decision Systems • Green Manufacturing and Sustainable Production • Industrial Big Data Analytics and Production Optimization • Smart Supply Chain and Logistics Optimization
Last updated by Dunn Carl on

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