4 citations · 16 across the 11 of their papers we have counts for
21 papers
Generalizable task representation learning from human demonstration videos: a geometric approach
Jun Jin, Martin Jagersand
We study the problem of generalizable task learning from human demonstration videos without extra training on the robot or pre-recorded robot motions. Given a set of human demonstr…
Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control
Michael Przystupa, Masood Dehghan, Martin Jagersand +1
Designing adaptable control laws that can transfer between different robots is a challenge because of kinematic and dynamic differences, as well as in scenarios where external sens…
A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics
Laura Petrich, Jun Jin, Masood Dehghan +1
Human assistive robotics have the potential to help the elderly and individuals living with disabilities with their Activities of Daily Living (ADL). Robotics researchers focus on…
Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs?
Laura Petrich, Jun Jin, Masood Dehghan +1
Human assistive robotics have the potential to help the elderly and individuals living with disabilities with their Activities of Daily Living (ADL). Robotics researchers present b…
Boundary-Aware Segmentation Network for Mobile and Web Applications
Xuebin Qin, Deng-Ping Fan, Chenyang Huang +6
Although deep models have greatly improved the accuracy and robustness of image segmentation, obtaining segmentation results with highly accurate boundaries and fine structures is…
A Geometric Perspective on Visual Imitation Learning
Jun Jin, Laura Petrich, Masood Dehghan +1
We consider the problem of visual imitation learning without human supervision (e.g. kinesthetic teaching or teleoperation), nor access to an interactive reinforcement learning (RL…