533 citations · 1k across the 30 of their papers we have counts for
18 papers · 1 filter
MDPs with Unawareness in Robotics
Nan Rong, Joseph Y. Halpern, Ashutosh Saxena
We formalize decision-making problems in robotics and automated control using continuous MDPs and actions that take place over continuous time intervals. We then approximate the co…
Learning to Represent Haptic Feedback for Partially-Observable Tasks
Jaeyong Sung, J. Kenneth Salisbury, Ashutosh Saxena
The sense of touch, being the earliest sensory system to develop in a human body [1], plays a critical part of our daily interaction with the environment. In order to successfully…
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…
Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions
Chenxia Wu, Jiemi Zhang, Bart Selman +2
We present a robotic system that watches a human using a Kinect v2 RGB-D sensor, detects what he forgot to do while performing an activity, and if necessary reminds the person usin…