533 citations · 1k across the 30 of their papers we have counts for
3 papers · 2 filters
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…
Learning Preferences for Manipulation Tasks from Online Coactive Feedback
Ashesh Jain, Shikhar Sharma, Thorsten Joachims +1
We consider the problem of learning preferences over trajectories for mobile manipulators such as personal robots and assembly line robots. The preferences we learn are more intric…
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Ashesh Jain, Hema S Koppula, Shane Soh +3
Advanced Driver Assistance Systems (ADAS) have made driving safer over the last decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a dangero…