16 citations · 57 across the 46 of their papers we have counts for
4 papers · 1 filter
Probabilistic Inference in Planning for Partially Observable Long Horizon Problems
Alphonsus Adu-Bredu, Nikhil Devraj, Pin-Han Lin +2
For autonomous service robots to successfully perform long horizon tasks in the real world, they must act intelligently in partially observable environments. Most Task and Motion P…
SeanNet: Semantic Understanding Network for Localization Under Object Dynamics
Xiao Li, Yidong Du, Zhen Zeng +1
We aim for domestic robots to perform long-term indoor service. Under the object-level scene dynamics induced by daily human activities, a robot needs to robustly localize itself i…
Topologically-Informed Atlas Learning
Thomas Cohn, Nikhil Devraj, Odest Chadwicke Jenkins
We present a new technique that enables manifold learning to accurately embed data manifolds that contain holes, without discarding any topological information. Manifold learning a…
Differentiable Nonparametric Belief Propagation
Anthony Opipari, Chao Chen, Shoutian Wang +3
We present a differentiable approach to learn the probabilistic factors used for inference by a nonparametric belief propagation algorithm. Existing nonparametric belief propagatio…