Graph inverse reinforcement learning from diverse videos

S Kumar, J Zamora, N Hansen… - … on Robot Learning, 2023 - proceedings.mlr.press
Abstract Research on Inverse Reinforcement Learning (IRL) from third-person videos has
shown encouraging results on removing the need for manual reward design for robotic …

You only demonstrate once: Category-level manipulation from single visual demonstration

B Wen, W Lian, K Bekris, S Schaal - arXiv preprint arXiv:2201.12716, 2022 - arxiv.org
Promising results have been achieved recently in category-level manipulation that
generalizes across object instances. Nevertheless, it often requires expensive real-world …

Objective learning from human demonstrations

JFS Lin, P Carreno-Medrano, M Parsapour… - Annual Reviews in …, 2021 - Elsevier
Researchers in biomechanics, neuroscience, human–machine interaction and other fields
are interested in inferring human intentions and objectives from observed actions. The …

A geometric perspective on visual imitation learning

J Jin, L Petrich, M Dehghan… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
We consider the problem of visual imitation learning without human kinesthetic teaching or
teleoperation, nor access to an interactive reinforcement learning training environment. We …

Analyzing neural jacobian methods in applications of visual servoing and kinematic control

M Przystupa, M Dehghan, M Jagersand… - … on Robotics and …, 2021 - ieeexplore.ieee.org
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 …

Generalizable task representation learning from human demonstration videos: a geometric approach

J Jin, M Jagersand - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
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 …

Bridging Low-level Geometry to High-level Concepts in Visual Servoing of Robot Manipulation Task Using Event Knowledge Graphs and Vision-Language Models

C Jiang, M Jagersand - arXiv preprint arXiv:2310.03932, 2023 - arxiv.org
In this paper, we propose a framework of building knowledgeable robot control in the scope
of smart human-robot interaction, by empowering a basic uncalibrated visual servoing …

Advancing the Acceptance and Use of Wheelchair-mounted Robotic Manipulators

LC Petrich - 2023 - era.library.ualberta.ca
Wheelchair-mounted robotic manipulators have the potential to help the elderly and
individuals living with disabilities carry out their activities of daily living independently. While …

[PDF][PDF] Graph Inverse Reinforcement Learning from Diverse Videos

SKJ Zamora, N Hansen, RJX Wang - arXiv preprint arXiv …, 2022 - academia.edu
Research on Inverse Reinforcement Learning (IRL) from third-person videos has shown
encouraging results on removing the need for manual reward design for robotic tasks …

Seeing to learn: Observational learning of robotic manipulation tasks

L Pauly - 2021 - etheses.whiterose.ac.uk
Learning new tasks has always been a challenging problem in robotics. Even though
several approaches have been proposed, from manual programming to learning from …