Knowledge representation and automated planning are two of the earliest and most important research areas in artificial intelligence (AI). Research in knowledge representation focuses on declaratively representing commonsense knowledge in a form that a computer system can utilize to solve complex reasoning tasks. Automated planning focuses on representing and reasoning with dynamic systems, in particular, generating action strategies or sequences to achieve goals.

Recent years have seen the booming of wide application of knowledge representation and planning techniques in intelligent robot and autonomous systems. Mobile robots, autonomous vehicles, intelligent electricity network and oil well construction are just a few examples of such applications. Formal representation of the knowledge has been used in various aspects of such systems as well, from dialog management to task planning and execution.

This workshop aims at exchanging the ideas of recent achievements, discussing challenges and opportunities of knowledge representation and automated planning technique to better serve the next generation of intelligent robot and autonomous systems, bridging the gap between theoretical study and practical application, and promoting collaboration between researchers and practitioners from different communities.


Topics of interest will be to address the challenges of "robotics and autonomous systems", including but not limited to

  • Human-robot interaction and collaborations
  • Multirobot/multiagent systems (centralized and decentralized)
  • Industrial autonomous systems
  • Perception, such as vision and natural language processing
  • Learning, such as reinforcement learning, transfer learning, and learning from demonstration
  • Mobile systems and mobility, such as mapping, localization, navigation, and SLAM

via "knowledge representation and automated planning" techniques, including but not limited to

  • Representing and reasoning about commonsense knowledge
  • Representation of dynamic systems
  • Diagnostic reasoning and explanation
  • Nonmonotonic reasoning
  • Answer set programming
  • Action languages (STRIPS, ADL, PDDL, B, C, C+, etc)

Important Dates (Updated)

  • Paper submission: May 1
  • Notification: May 22
  • Camera ready: June 12
  • Workshop: July 3

Invited Speakers (tentative)


    To be added..


The workshop welcomes submissions of long papers (up to 13 pages) or short papers (up to 6 pages). If your work is unfinished but the idea is very exciting, we strongly encourage you to submit a short paper. The indicated number of pages includes title page, references and figures.

All submissions will be peer-reviewed and accepted papers will be electronically hosted on this page. At least one author of each accepted paper is expected to register for the workshop to present the work. Submissions must be written in English, present original research, and be formatted according to Springer’s guidelines and technical instructions.

Paper submission will be electronic (PDF) through the KPRAS easychair website. If you have any questions, feel free to contact the organizers.

Steering Committee

Organizing Committee

  • Fangkai Yang, Schlumberger Software Technology, Schlumberger Ltd. USA
  • Shiqi Zhang, Cleveland State University, USA

Program Committee

  • Marcello Balduccini, Drexel University, USA
  • Kai Chen, Ninebot Inc, China
  • Jianmin Ji, University of Science and Technology of China, China
  • Piyush Khandelwal, The University of Texas at Austin, USA
  • Matteo Leonetti, University of Leeds, UK
  • Orkunt Sabuncu, NOVA LINCS, Portugal
  • Mohan Sridharan, The University of Auckland, New Zealand
  • Zhiqiang Sui, University of Michigan, USA
  • Tran Cao Son, New Mexico State University, USA
  • Yuanlin Zhang, Texas Tech University, USA
  • Yu Zhang, Arizona State University, USA