Petrich, L. C., Williams, H. E., Taylor, M. E., and Pilarski, P. M. (2025). "Decision Making for Contextual Neuroprosthetic Control with Dendritic Gated Networks." In 6th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM).
Petrich, L. C.*, Neumann, S.*, Pilarski, P., and Fyshe, A. (2025). "Neural Network Sparsity in Brain-Body-Machine Interfaces." In the 19th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR). *equal contribution. Download PDF here.
Petrich, L. C., Williams, H. E., Günther, J., Taylor, M. E., and Pilarski, P. M. (2024). "Feasibility Study of Dendritic Gated Networks for Upper Limb Prosthetic Control." In 2024 6th International Conference on Neurorehabilitation (ICNR). Download PDF here.
Petrich, L. C., Williams, H. E., Taylor, M. E., Hebert, J. S., Lemelin, P., Shehata, A. W., and Pilarski, P. M. (2024). "A Preliminary Investigation into Bio-inspired Data Collection for Transhumeral Targeted Muscle Reinnervation Prosthetic Control." Myoelectric Controls and Upper Limb Prosthetics (MEC) Symposium. Download PDF here.
Cairo, M., Doerksen, G., Günther, J., Eldaphonse, B., Kummer, N., Petrich, L., Mousavi, P., Maretzki, J., Syed, T., Sahir, Mohaar, G., Jubair, S., Murphy, S., and Taylor, M. E. (2023). "Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance." In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 3047-3049. Download PDF here.
Przystupa, M., Johnstonbaugh, K., Zhang, Z., Petrich, L., Dehghan, M., Haghverd, F., and Jägersand, M. (2023). "Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators." In 2023 IEEE International Conference on Robotics and Automation (ICRA). Download PDF here.
Petrich, L., Jin, J., Dehghan, M., and Jägersand, M. (2022). "A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics." In 2022 IEEE International Conference on Robotics and Automation (ICRA), pp. 6999-7006. Download PDF here.
Jin, J., Petrich, L., Dehghan, M., and Jägersand, M. (2020). "A Geometric Perspective on Visual Imitation Learning." In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5194-5200. Download PDF here.
Jin, J., Petrich, L., Zhang, Z., Dehghan, M., and Jägersand, M. (2020). "Visual Geometric Skill Inference by Watching Human Demonstration." In 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 8985-8991. Download PDF here.
Jin, J., Petrich, L., Dehghan, M., Zhang, Z., and Jägersand, M. (2019). "Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach." In 2019 IEEE International Conference on Robotics and Automation (ICRA), pp. 6624-6630. Download PDF here.
Dehghan, M., Zhang, Z., Siam, M., Jin, J., Petrich, L., and Jägersand, M. (2019). "Online Object and Task Learning via Human Robot Interaction." In 2019 IEEE International Conference on Robotics and Automation (ICRA), pp. 2132-2138. Download PDF here.
Siam, M., Jiang, C., Lu, S.W., Petrich, L., Gamal, M., Elhoseiny, M., and Jägersand, M. (2019). "Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting." In 2019 IEEE International Conference on Robotics and Automation (ICRA), pp. 50-56. Download PDF here.