activity
20182021
most citedA Geometric Perspective on Visual Imitation Learning

4 citations · 12 across the 7 of their papers we have counts for

collaborators

10 papers

cs.RO2021

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…

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.CV20203 cited

Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream

Chen Jiang, Masood Dehghan, Martin Jagersand

Manipulation tasks in daily life, such as pouring water, unfold intentionally under specialized manipulation contexts. Being able to process contextual knowledge in these Activitie…

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…