7 citations · 8 across the 4 of their papers we have counts for
4 papers
Demonstration Based Explainable AI for Learning from Demonstration Methods
Morris Gu, Elizabeth Croft, Dana Kulic
Learning from Demonstration (LfD) is a powerful type of machine learning that can allow novices to teach and program robots to complete various tasks. However, the learning process…
Deep Learning Approaches to Grasp Synthesis: A Review
Rhys Newbury, Morris Gu, Lachlan Chumbley +9
Grasping is the process of picking up an object by applying forces and torques at a set of contacts. Recent advances in deep-learning methods have allowed rapid progress in robotic…
Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction
Lachlan Chumbley, Morris Gu, Rhys Newbury +2
We investigate how high-resolution tactile sensors can be utilized in combination with vision and depth sensing, to improve grasp stability prediction. Recent advances in simulatin…
AR Point&Click: An Interface for Setting Robot Navigation Goals
Morris Gu, Elizabeth Croft, Akansel Cosgun
This paper considers the problem of designating navigation goal locations for interactive mobile robots. We propose a point-and-click interface, implemented with an Augmented Reali…