Conference Information

ICRL 2026: International Conference on Robotics and Learning

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Submission Date:
2026-05-10
Notification Date:
2026-06-18
Conference Date:
2026-07-10
Location:
Yili, China
Viewed: 733   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,200 of 5,645 conferences · Top 57%

#210 of 469 in Robotics & Control

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
10
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 3

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 25% - 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 2026-09-01

Call For Papers

ICRL 2026 (International Conference on Robotics and Learning) is an academic conference held in Yili, China on 2026-07-10. The paper submission deadline is 2026-05-10. Acceptance notifications are sent on 2026-06-18.

International Conference on Robotics and Learning (ICRL) aims to promote the exchange of ideas in robotics, with a focus on robot learning. The topics of interest for submission include, but are not limited to: Robotics Embodied Intelligence Robot Robot Learning & Adaptive Control Neuro-robotics Multimodal Sensor Fusion Dexterous Hands & Tactile Sensing Force Control & Compliant Manipulation Advanced Optoelectronic Sensors for Robotic Perception Novel Actuation Materials Micro/Nanorobotics Reconfigurable Robotics Medical & Rehabilitation Robotics Simulation & Digital Twins Multi-Robot Collaboration Embodied Foundation Models Sustainable Robotics Bio-inspired Robotics Space & Underwater Robotics Service Robotics Robotic Vision Perception Intelligent Transportation & Autonomous Driving Learning Learning Enhanced Perception for Robotics Learning Enhanced Robot Planning Learning Enhanced Robot Manipulation Learning Enhanced Robot Control Learning Method for Human-robot Coordination Learning Method for Multi-robot Cooperation or Confrontation Learning Method for Self-driving Learning Based Robotic Warehousing Learning Enhanced Intelligent Transportation Learning Method for Bionic Robotics and Medical Robotics Learning Method for UAV and USV Deep Learning, Imitation Learning and Reinforcement Learning for Robotic System Sim-to-Real Transfer for Robotic Applications Dataset, Benchmark and Simulator for Robotic Learning Applications for Robotic Learning Opto-Mechano-Electronic Integrated Intelligent Robotic Systems
Last updated by Dou Sun on

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