13 citations · 13 across the 1 of their papers we have counts for
3 papers
cs.RO2016★ 13 cited
Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding
Jaeyong Sung, Seok Hyun Jin, Ian Lenz +1
There is a large variety of objects and appliances in human environments, such as stoves, coffee dispensers, juice extractors, and so on. It is challenging for a roboticist to prog…
cs.RO2015
Deep Multimodal Embedding: Manipulating Novel Objects with Point-clouds, Language and Trajectories
Jaeyong Sung, Ian Lenz, Ashutosh Saxena
A robot operating in a real-world environment needs to perform reasoning over a variety of sensor modalities such as vision, language and motion trajectories. However, it is extrem…
cs.LG2013
Deep Learning for Detecting Robotic Grasps
Ian Lenz, Honglak Lee, Ashutosh Saxena
We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects. In this work, we apply a deep learning approach to solve this problem, which avo…