Pose graph optimization is recast as damped Riemannian dynamics on Lie groups, enabling a fully distributed algorithm with a semi-implicit integrator that converges under both synchronous and asynchronous communication.
IEEE Transactions on Robotics 40, 22–42
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Decentralized Riemannian optimization framework for object-based multi-robot pose graph optimization using consensus and approximate-Newton methods to reduce communication overhead while maintaining accuracy.
WeeCare is a conformable EIT-based handheld pad for bladder fullness sensing, evaluated via in-silico simulations, in-vitro phantoms, and one in-vivo human measurement.
citing papers explorer
-
Distributed Pose Graph Optimization via Continuous Riemannian Dynamics
Pose graph optimization is recast as damped Riemannian dynamics on Lie groups, enabling a fully distributed algorithm with a semi-implicit integrator that converges under both synchronous and asynchronous communication.
-
Decentralized Pose Graph Riemannian Optimization for Object-based Multi-Robot SLAM
Decentralized Riemannian optimization framework for object-based multi-robot pose graph optimization using consensus and approximate-Newton methods to reduce communication overhead while maintaining accuracy.
-
WeeCare: Towards Handheld Bladder Fullness Sensing with a Conformable Pad
WeeCare is a conformable EIT-based handheld pad for bladder fullness sensing, evaluated via in-silico simulations, in-vitro phantoms, and one in-vivo human measurement.