Active localization with dynamic obstacles

By Alberto Quattrini Li, Marios Xanthidis, Jason M. O'Kane, Ioannis M. Rekleitis. 2016

9 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Ocean Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Richard Socher
2. Caiming Xiong

In Electrical and Electronic Engineering

1. Richard Socher
2. Caiming Xiong
3. Wenling Shang

In Ocean Engineering

1. Richard Socher

Citations in the corpus

• Learning World Graphs to Accelerate Hierarchical Reinforcement Learning (2019, positive): “a map of the world [61, 87, 3]. Our exploration strategy borrows the high-level insight from robotics active localization, where robots are actively guided to investigate unfamiliar regions by humans [29, 58]. Another direction in this area is to learn a world model [4, 37, 36] that generates latent”