activity
20182022
most citedLearning predictive representations in autonomous driving to improve deep reinforcement learning

9 citations · 22 across the 11 of their papers we have counts for

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11 papers · 1 filter

cs.RO2022

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…

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.RO2021

Learning robust driving policies without online exploration

Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh +2

We propose a multi-time-scale predictive representation learning method to efficiently learn robust driving policies in an offline manner that generalize well to novel road geometr…

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…