IROS 2026 - Industrial Applications of Robot Learning
TOPICS OF INTEREST
  • Industrial applications of robot learning
  • Learning visual, force, tactile, and audio perception
  • Learning dexterous manipulation
  • Learning-based manipulation and long-horizon task execution
  • Sim-to-real transfer and data-efficient learning
  • Foundation models and generative AI for industrial robotics
  • Human-robot collaboration and adaptive shared autonomy
  • Benchmarking and evaluation of precision, reliability, and performance
  • Safety, trustworthiness, and robustness in learning-enabled industrial robots
  • And more
SUBMISSION GUIDELINES
  • Submissions should be 2-8 pages (including references), following the IROS format.
  • All accepted papers will be presented as posters.
  • Selected research award candidates will give 8-minute talks.
  • Submissions will undergo a single-blind peer review process via OpenReview.
IMPORTANT DATES
Submission Deadline 2026/08/15
Notification of Acceptance 2026/09/13
Camera-Ready Deadline 2026/09/20
Workshop Date 2026/09/27
AWARDS
Best Paper $1000
Best Student Paper $1000
Best Poster Presentation $500
SUBMISSION PORTAL
OpenReview: IARL2026 Paper Submissions
Call of Paper Poster
Call Of Papers Poster Click Here
Program Committee and Reviewers
  • Abdullah Mustafa (AIST)
  • Diego Romeres (Amazon Industrial Robotics Group)
  • Floris Erich (AIST)
  • Hanbit Oh (AIST)
  • Hao Chen (University of Osaka)
  • Harindu Sarathchandra (Shibaura Institute of Technology)
  • Kei Ota (AIRoA/RIKEN)
  • Keisuke Shirai (AIST)
  • Koshi Makihara (AIST)
  • Marina Aoyama (University of Edinburgh)
  • Refaldi Putra (University of Tokyo)
  • Roman Mykhailyshyn (AIST/AUK)
  • Ryo Hanai (AIST)
  • Ryoichi Nakajo (AIST)
  • Tessa Pulli (TU Wien)
  • Tomohiro Motoda (AIST)
  • Vishal Chauhan (University of Tokyo)