Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting.
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.
Online Object and Task Learning via Human Robot Interaction.
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.
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach.
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.
Visual Geometric Skill Inference by Watching Human Demonstration.
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.
A Geometric Perspective on Visual Imitation Learning.
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.
A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics.
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.
Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators.
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.
Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance.
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.
A Preliminary Investigation into Bio-inspired Data Collection for Transhumeral Targeted Muscle Reinnervation Prosthetic Control.
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.
Feasibility Study of Dendritic Gated Networks for Upper Limb Prosthetic Control.
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.
Neural Network Sparsity in Brain-Body-Machine Interfaces.
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.
Decision Making for Contextual Neuroprosthetic Control with Dendritic Gated Networks.
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).
talks
teaching
CMPUT 312 - Introduction to Robotics and Mechatronics
Undergraduate course, University of Alberta, Department of Computing Science, 2018
I helped develop course material and taught weekly laboratory sessions using the Lego Mindstorm platform.
CMPUT 312 - Introduction to Robotics and Mechatronics
Undergraduate course, University of Alberta, Department of Computing Science, 2019
As a teaching assistant, I helped develop course material, taught weekly laboratory sessions using the Lego Mindstorm platform, and marked course assignments and exams.
CMPUT 272 - Formal Systems and Logic in Computing Science
Undergraduate course, University of Alberta, Department of Computing Science, 2020
An introduction to the tools of set theory, logic, and induction, and their use in the practice of reasoning about algorithms and programs. As a teaching assistant, I delivered seminar content and marked course assignments and exams.
CMPUT 412/503 - Experimental Mobile Robotics
Undergraduate/graduate course, University of Alberta, Department of Computing Science, 2021
This course is an experimental inquisition of the fascinating field of mobile robotics. Students will specifically be exposed to basic concepts, models, and algorithms in autonomous navigation of a mobile robot operating in indoor environments. As a teaching assistant, I developed course material and taught laboratory sessions using The Construct simulation platform. I also created and ran course competitions designed to encourage creative problem solving in the students by combining the covered material into a full robotic system.
CMPUT 412/503 - Experimental Mobile Robotics
Undergraduate/graduate course, University of Alberta, Department of Computing Science, 2023
This course is an experimental inquisition of the fascinating field of mobile robotics. Students will specifically be exposed to basic concepts, models, and algorithms in autonomous navigation of a mobile robot operating in indoor environments. As the lead teaching assistant, I developed new course material for the Duckiebot platform. I also organized and led four teaching assistants. I taught weekly laboratory sessions and oversaw all marking for the course.