Online Tool and Task learning via Human Robot Interaction. - Masood Dehghan; Zichen Zhang 001; Mennatullah Siam; Jun Jin 001; Laura Petrich; Martin Jägersand (CoRR, 2018)

Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. - Mennatullah Siam; Chen Jiang; Steven Weikai Lu; Laura Petrich; Mahmoud Gamal; Mohamed Elhoseiny; Martin Jägersand (CoRR, 2018)

Online Object and Task Learning via Human Robot Interaction. - Masood Dehghan; Zichen Zhang 001; Mennatullah Siam; Jun Jin 001; Laura Petrich; Martin Jägersand (ICRA, 2019)

Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. - Jun Jin 001; Laura Petrich; Masood Dehghan; Zichen Zhang 001; Martin Jägersand (ICRA, 2019)

Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. - Mennatullah Siam; Chen Jiang; Steven Weikai Lu; Laura Petrich; Mahmoud Gamal; Mohamed Elhoseiny; Martin Jägersand (ICRA, 2019)

Evaluation of state representation methods in robot hand-eye coordination learning from demonstration. - Jun Jin 001; Masood Dehghan; Laura Petrich; Steven Weikai Lu; Martin Jägersand (CoRR, 2019)

Long range teleoperation for fine manipulation tasks under time-delay network conditions. - Jun Jin 001; Laura Petrich; Shida He; Masood Dehghan; Martin Jägersand (CoRR, 2019)

Visual Geometric Skill Inference by Watching Human Demonstration. - Jun Jin 001; Laura Petrich; Zichen Zhang 001; Masood Dehghan; Martin Jägersand (ICRA, 2020)

A Geometric Perspective on Visual Imitation Learning. - Jun Jin 001; Laura Petrich; Masood Dehghan; Martin Jägersand (IROS, 2020)

Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs? - Laura Petrich; Jun Jin 001; Masood Dehghan; Martin Jägersand (CoRR, 2021)

A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics. - Laura Petrich; Jun Jin 001; Masood Dehghan; Martin Jägersand (ICRA, 2022)

Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance. - Mara Cairo; Bevin Eldaphonse; Payam Mousavi; Sahir; Sheikh Jubair; Matthew E. Taylor; Graham Doerksen; Nikolai Kummer; Jordan Maretzki; Gupreet Mohhar; Sean Murphy; Johannes Günther 002; et al. (AAMAS, 2023)

Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators. - Michael Przystupa; Kerrick Johnstonbaugh; Zichen Zhang 001; Laura Petrich; Masood Dehghan; Faezeh Haghverd; Martin Jägersand (ICRA, 2023)

Neural Network Sparsity in Brain-Body-Machine Interfaces. - Laura C. Petrich; Samuel Neumann; Patrick M. Pilarski; Alona Fyshe (ICORR, 2025)