62 citations · 64 across the 5 of their papers we have counts for
5 papers
Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs
Junchi Liang, Abdeslam Boularias
This paper presents a new technique for learning category-level manipulation from raw RGB-D videos of task demonstrations, with no manual labels or annotations. Category-level lear…
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations
Junchi Liang, Bowen Wen, Kostas Bekris +1
This work aims to learn how to perform complex robot manipulation tasks that are composed of several, consecutively executed low-level sub-tasks, given as input a few visual demons…
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
Andrew S. Morgan, Bowen Wen, Junchi Liang +3
Highly constrained manipulation tasks continue to be challenging for autonomous robots as they require high levels of precision, typically less than 1mm, which is often incompatibl…
Learning Transition Models with Time-delayed Causal Relations
Junchi Liang, Abdeslam Boularias
This paper introduces an algorithm for discovering implicit and delayed causal relations between events observed by a robot at arbitrary times, with the objective of improving data…
Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games
Junchi Liang, Abdeslam Boularias
We consider the problem of learning to play first-person shooter (FPS) video games using raw screen images as observations and keyboard inputs as actions. The high-dimensionality o…