601 citations · 2.1k across the 56 of their papers we have counts for
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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…
Learning Trajectory Preferences for Manipulators via Iterative Improvement
Ashesh Jain, Brian Wojcik, Thorsten Joachims +1
We consider the problem of learning good trajectories for manipulation tasks. This is challenging because the criterion defining a good trajectory varies with users, tasks and envi…
Contextually Guided Semantic Labeling and Search for 3D Point Clouds
Abhishek Anand, Hema Swetha Koppula, Thorsten Joachims +1
RGB-D cameras, which give an RGB image to- gether with depths, are becoming increasingly popular for robotic perception. In this paper, we address the task of detecting commonly fo…
Labeling 3D scenes for Personal Assistant Robots
Hema Swetha Koppula, Abhishek Anand, Thorsten Joachims +1
Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper, we…