Publications

  1. Ali, O., Baxter, P. & Harman, H. (2025). Mixed Reality Visualisations for Interpretable Transparent Robot Behaviour. In Annual Conference Towards Autonomous Robotic Systems (pp. 25-38). Cham: Springer Nature Switzerland.
  2. Harman, H. & Simoens, P. (2024). Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents. Knowledge and Information Systems, 66(2), 1257-1300.
  3. Harman, H. & Sklar, E. I. (2022). Multi-agent task allocation for harvest management. Frontiers in Robotics and AI, 9, 864745.
  4. Owen, A., Harman, H. & Sklar, E. I. (2022). Towards the Application of Multi-Agent Task Allocation to Hygiene Tasks in the Food Production Industry. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 5-16). Cham: Springer International Publishing.
  5. Harman, H. & Sklar, E. I. (2022). Multi-agent task allocation techniques for harvest team formation. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 217-228). Cham: Springer International Publishing.
  6. Harman, H. & Sklar, E. (2022). Multi-agent task allocation for fruit picker team formation. (Extended Abstract) In The 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)
  7. Harman, H. & Sklar, E. I. (2022). Challenges for Multi-Agent Based Agricultural Workforce Management. In International Workshop on Multi-Agent Systems and Agent-Based Simulation (pp. 121-133). Cham: Springer International Publishing.
  8. Qi, C., Gao, J., Pearson, S., Harman, H., Chen, K. & Shu, L. (2022). Tea chrysanthemum detection under unstructured environments using the TC-YOLO model. Expert Systems with Applications, 193, 116473.
  9. Harman, H. & Sklar, E. I. (2021). A practical application of market-based mechanisms for allocating harvesting tasks. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 114-126). Cham: Springer International Publishing.
  10. Harman, H. & Sklar, E. (2021). Auction-based task allocation mechanisms for managing fruit harvesting tasks. In UKRAS21
  11. Harman, H. & Simoens, P. (2020). Learning Symbolic Action Definitions from Unlabelled Image Pairs. In Knowledge Engineering for Planning and Scheduling (KEPS) workshop part of ICAPS'20 [PDF]
  12. Harman, H. & Simoens, P. (2020). Generating Symbolic Action Definitions from Pairs of Images: Applied to Solving Towers of Hanoi. In Plan Activity Intention Recognition (PAIR) workshop part of AAAI'20 [PDF]
  13. Harman, H. & Simoens, P. (2020). Action Graphs for Goal Recognition Problems with Inaccurate Initial States - Student Abstract. Thirty-Fourth AAAI Conference on Artificial Intelligence. [PDF]
  14. Harman, H. & Simoens, P. (2020). Action Graphs for proactive robot assistance in smart environments, Journal of Ambient Intelligence and Smart Environments. (Accepted)
  15. Harman, H., Chintamani, K., & Simoens, P. (2019). Robot Assistance in Dynamic Smart Environments—A Hierarchical Continual Planning in the Now Framework. Sensors 19(22): 4856. [DOI] [Videos]
  16. Harman, H. & Simoens, P. (2019). Action Graphs for Performing Goal Recognition Design on Human-Inhabited Environments. Sensors 19(12): 2741. [DOI] [Videos]
  17. Harman, H. & Simoens, P. (2019). Solving navigation-based goal recognition design problems with action graphs. In Plan Activity Intention Recognition (PAIR) workshop part of AAAI-19. [PDF]
  18. Harman, H., Chintamani, K., & Simoens, P. (2018). Action trees for scalable goal recognition in robotic applications. In the 6th workshop on Planning and Robotics (PlanRob) part of ICAPS,(pp. 90-94). [PDF]
  19. Harman, H., Chintamani, K., & Simoens, P. (2017). Architecture for incorporating Internet-of-Things sensors and actuators into robot task planning in dynamic environments. In Robotics and Intelligent Sensors (IRIS), 2017 IEEE International Symposium on (pp. 13-18). IEEE. [PDF]

Other

Posters
    1. Action Graphs for Goal Recognition Problems with Inaccurate Initial States - Student Abstract. Presented at the Thirty-Fourth AAAI Conference on Artificial Intelligence (2020) [PDF]
    2. Action trees for scalable goal recognition in robotic applications. Presented at the 6th workshop on Planning and Robotics (PlanRob) (2018) [PDF]
    3. Continuous hierarchical robot task planning in smart environments. Presented at the 28th International Conference on Automated Planning and Scheduling (ICAPS) (2018) [PDF]

Supplementary Material

Action Graphs for Performing Goal Recognition Design on Human-Inhabited Environments.

Robot Assistance in Dynamic Smart Environments—A Hierarchical Continual Planning in the Now Framework.