1.5k citations · 2k across the 42 of their papers we have counts for
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Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference
Mustafa Mukadam, Jing Dong, Xinyan Yan +2
We introduce a novel formulation of motion planning, for continuous-time trajectories, as probabilistic inference. We first show how smooth continuous-time trajectories can be repr…
Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups
Jing Dong, Byron Boots, Frank Dellaert
Continuous-time trajectory representations are a powerful tool that can be used to address several issues in many practical simultaneous localization and mapping (SLAM) scenarios,…
Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based Models
Siddharth Choudhary, Luca Carlone, Carlos Nieto +3
We consider the following problem: a team of robots is deployed in an unknown environment and it has to collaboratively build a map of the area without a reliable infrastructure fo…