A survey on active simultaneous localization and map**: State of the art and new frontiers

JA Placed, J Strader, H Carrillo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

Partially observable markov decision processes and robotics

H Kurniawati - Annual Review of Control, Robotics, and …, 2022 - annualreviews.org
Planning under uncertainty is critical to robotics. The partially observable Markov decision
process (POMDP) is a mathematical framework for such planning problems. POMDPs are …

Past, present, and future of simultaneous localization and map**: Toward the robust-perception age

C Cadena, L Carlone, H Carrillo, Y Latif… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Simultaneous localization and map** (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
C Chen, H Zhu, M Li, S You - Robotics, 2018 - mdpi.com
Visual-inertial simultaneous localization and map** (VI-SLAM) is popular research topic in
robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide …

Active SLAM for mobile robots with area coverage and obstacle avoidance

Y Chen, S Huang, R Fitch - IEEE/ASME Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we present an active simultaneous localization and map** (SLAM)
framework for a mobile robot to obtain a collision-free trajectory with good performance in …

Driving environment uncertainty-aware motion planning for autonomous vehicles

X Tang, K Yang, H Wang, W Yu, X Yang, T Liu… - Chinese Journal of …, 2022 - Springer
Autonomous vehicles require safe motion planning in uncertain environments, which are
largely caused by surrounding vehicles. In this paper, a driving environment uncertainty …