Asymptotically optimal sampling-based motion planning methods

JD Gammell, MP Strub - Annual Review of Control, Robotics …, 2021 - annualreviews.org
Motion planning is a fundamental problem in autonomous robotics that requires finding a
path to a specified goal that avoids obstacles and takes into account a robot's limitations and …

Bench-mr: A motion planning benchmark for wheeled mobile robots

E Heiden, L Palmieri, L Bruns, KO Arras… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Planning smooth and energy-efficient paths for wheeled mobile robots is a central task for
applications ranging from autonomous driving to service and intralogistic robotics. Over the …

Perceptive model predictive control for continuous mobile manipulation

J Pankert, M Hutter - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
A mobile robot needs to be aware of its environment to interact with it safely. We propose a
receding horizon control scheme for mobile manipulators that tracks task space reference …

Bimanual regras** for suture needles using reinforcement learning for rapid motion planning

ZY Chiu, F Richter, EK Funk… - … on Robotics and …, 2021 - ieeexplore.ieee.org
Regras** a suture needle is an important yet time-consuming process in suturing. To
bring efficiency into regras**, prior work either designs a task-specific mechanism or …

Graph-based robot optimal path planning with bio-inspired algorithms

T Lei, T Sellers, C Luo, DW Carruth, Z Bi - Biomimetic Intelligence and …, 2023 - Elsevier
Recently, bio-inspired algorithms have been increasingly explored for autonomous robot
path planning on grid-based maps. However, these approaches endure performance …

Nfomp: Neural field for optimal motion planner of differential drive robots with nonholonomic constraints

M Kurenkov, A Potapov, A Savinykh… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Optimal motion planning is one of the most critical problems in mobile robotics. On the one
hand, classical sampling-based methods propose asymptotically optimal solutions to this …

Fast kinodynamic planning on the constraint manifold with deep neural networks

P Kicki, P Liu, D Tateo, H Bou-Ammar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Motion planning is a mature area of research in robotics with many well-established
methods based on optimization or sampling the state space, suitable for solving kinematic …

Informed anytime Bi-directional Fast Marching Tree for optimal motion planning in complex cluttered environments

K Wang, J Xu, K Song, Y Yan, Y Peng - Expert Systems with Applications, 2023 - Elsevier
Practical applications favor anytime asymptotically-optimal algorithms that find a feasible
solution and improve it toward the optimal solution within limited time. This paper proposed …

[HTML][HTML] Toward asymptotically-optimal inspection planning via efficient near-optimal graph search

M Fu, A Kuntz, O Salzman… - Robotics science and …, 2019 - ncbi.nlm.nih.gov
Inspection planning, the task of planning motions that allow a robot to inspect a set of points
of interest, has applications in domains such as industrial, field, and medical robotics …

ST-FMT*: A fast optimal global motion planning for mobile robot

Z Wu, Y Chen, J Liang, B He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article introduces a secure tunnel fast marching tree motion planning algorithm (ST-
FMT*) to provide a secure and optimal path quickly for a mobile robot. The proposed ST …