| Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization V Karkaria, A Goeckner, R Zha, J Chen, J Zhang, Q Zhu, J Cao, RX Gao, ... Journal of Manufacturing Systems 75, 322-332, 2024 | 23 | 2024 |
| Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing X Liu, Y Luo, A Goeckner, T Chakraborty, R Jiao, N Wang, Y Wang, T Sato, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-4, 2023 | 7 | 2023 |
| Attrition-aware adaptation for multi-agent patrolling A Goeckner, X Li, E Wei, Q Zhu IEEE Robotics and Automation Letters, 2024 | 3 | 2024 |
| From Warfighting Needs to Robot Actuation: A Complete Rapid Integration Swarming Solution E Taranta, A Seiwert, A Goeckner, K Nguyen, E & Cherry Field Robotics 3, 460-515, 2023 | 3 | 2023 |
| Graph neural network-based multi-agent reinforcement learning for resilient distributed coordination of multi-robot systems A Goeckner, Y Sui, N Martinet, X Li, Q Zhu 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 2 | 2024 |
| Algorithm and Hardware Co-Design for Energy-Efficient Neural SLAM L Huang, C Yang, Y Gong, Y Sui, X Zang, A Goeckner, Q Zhu, B Yuan Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-4, 2024 | | 2024 |
