533 citations · 1k across the 30 of their papers we have counts for
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cs.RO2013★ 58 cited
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…
cs.RO2013★ 11 cited
Synthesizing Manipulation Sequences for Under-Specified Tasks using Unrolled Markov Random Fields
Jaeyong Sung, Bart Selman, Ashutosh Saxena
Many tasks in human environments require performing a sequence of navigation and manipulation steps involving objects. In unstructured human environments, the location and configur…