activity
20182021
most citedA Geometric Perspective on Visual Imitation Learning

4 citations · 9 across the 5 of their papers we have counts for

collaborators

9 papers

cs.RO2021

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…

cs.RO20212 cited

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…

cs.RO20204 cited

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…

cs.RO2019

Visual Geometric Skill Inference by Watching Human Demonstration

Jun Jin, Laura Petrich, Zichen Zhang +2

We study the problem of learning manipulation skills from human demonstration video by inferring the association relationships between geometric features. Motivation for this work…

cs.RO20191 cited

Long range teleoperation for fine manipulation tasks under time-delay network conditions

Jun Jin, Laura Petrich, Shida He +2

We present a coarse-to-fine approach based semi-autonomous teleoperation system using vision guidance. The system is optimized for long range teleoperation tasks under time-delay n…

cs.RO20192 cited

Evaluation of state representation methods in robot hand-eye coordination learning from demonstration

Jun Jin, Masood Dehghan, Laura Petrich +2

We evaluate different state representation methods in robot hand-eye coordination learning on different aspects. Regarding state dimension reduction: we evaluates how these state r…