| Tea chrysanthemum detection under unstructured environments using the TC-YOLO model C Qi, J Gao, S Pearson, H Harman, K Chen, L Shu Expert Systems with Applications 193, 116473, 2022 | 35 | 2022 |
| Action graphs for proactive robot assistance in smart environments H Harman, P Simoens Journal of Ambient Intelligence and Smart Environments 12 (2), 79-99, 2020 | 21 | 2020 |
| Robot assistance in dynamic smart environments—a hierarchical continual planning in the now framework H Harman, K Chintamani, P Simoens Sensors 19 (22), 4856, 2019 | 10 | 2019 |
| A practical application of market-based mechanisms for allocating harvesting tasks H Harman, EI Sklar Advances in Practical Applications of Agents, Multi-Agent Systems, and …, 2021 | 8 | 2021 |
| Multi-agent task allocation for fruit picker team formation H Harman, E Sklar University of Lincoln, 2022 | 5 | 2022 |
| Action graphs for performing goal recognition design on human-inhabited environments H Harman, P Simoens Sensors 19 (12), 2741, 2019 | 5 | 2019 |
| Action trees for scalable goal recognition in robotic applications H Harman, K Chintamani, P Simoens 6th Workshop on Planning and Robotics (PlanRob), 1-5, 2018 | 4 | 2018 |
| Architecture for incorporating internet-of-things sensors and actuators into robot task planning in dynamic environments H Harman, K Chintamani, P Simoens 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS …, 2017 | 4 | 2017 |
| Multi-agent task allocation for harvest management H Harman, EI Sklar Frontiers in Robotics and AI 9, 864745, 2022 | 3 | 2022 |
| Auction-based task allocation mechanisms for managing fruit harvesting tasks H Harman, E Sklar UK Robotics and Autonomous Systems Network Annual Conference (UK-RAS) 2, 2021 | 3 | 2021 |
| Multi-agent task allocation techniques for harvest team formation H Harman, EI Sklar International Conference on Practical Applications of Agents and Multi-Agent …, 2022 | 2 | 2022 |
| Learning Symbolic Action Definitions from Unlabelled Image Pairs H Harman, P Simoens 2020 The 4th International Conference on Advances in Artificial Intelligence …, 2020 | 2 | 2020 |
| Symbolic artificial intelligence techniques to facilitate proactive robot assistance H Harman Ghent University, 2020 | 2 | 2020 |
| Towards the Application of Multi-Agent Task Allocation to Hygiene Tasks in the Food Production Industry A Owen, H Harman, EI Sklar International Conference on Practical Applications of Agents and Multi-Agent …, 2022 | 1 | 2022 |
| Action Graphs for Goal Recognition Problems with Inaccurate Initial States (Student Abstract) H Harman, P Simoens Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13805 …, 2020 | 1 | 2020 |
| Generating symbolic action definitions from pairs of images: Applied to solving towers of Hanoi H Harman, P Simoens the 34th AAAI conference on Artificial Intelligence, AAAI2020, 2020 | 1 | 2020 |
| Solving navigation-based goal recognition design problems with action graphs H Harman, P Simoens PAIR2019, part of AAAI2019, the 33e AAAI conference on Artificial …, 2019 | 1 | 2019 |
| Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents H Harman, P Simoens Knowledge and Information Systems 66 (2), 1257-1300, 2024 | | 2024 |
| Challenges for Multi-Agent Based Agricultural Workforce Management H Harman, EI Sklar International Workshop on Multi-Agent Systems and Agent-Based Simulation …, 2022 | | 2022 |
| Towards Autonomous Task Allocation Using a Robot Team in a Food Factory A Owen, H Harman, E Sklar University of Lincoln, 2022 | | 2022 |
