Development and trends of chicken farming robots in chicken farming tasks: A review

D Yang, D Cui, Y Ying - Computers and Electronics in Agriculture, 2024 - Elsevier
Chicken farming plays a crucial role in the chicken industry. As the market demand for
chicken products continues to grow, chicken farming is expanding on a larger scale to meet …

Route planning for an autonomous robotic vehicle employing a weight-controlled particle swarm-optimized Dijkstra algorithm

S Sundarraj, RVK Reddy, MB Basam, GH Lokesh… - IEEE …, 2023 - ieeexplore.ieee.org
An autonomous robotic vehicle (ARVs) is a self-driving vehicle that uses advanced
technologies to navigate through the environment without human intervention. These …

Reinforcement learning-based complete area coverage path planning for a modified hTrihex robot

KGS Apuroop, AV Le, MR Elara, BJ Sheu - Sensors, 2021 - mdpi.com
One of the essential attributes of a cleaning robot is to achieve complete area coverage.
Current commercial indoor cleaning robots have fixed morphology and are restricted to …

Exploring reinforcement learning techniques in the realm of mobile robotics

Z Haider, MZ Sardar, AT Azar… - … of Automation and …, 2024 - inderscienceonline.com
Mobile robots are intelligent machines that can move and perform tasks in different
environments. The key factor enabling the autonomy of mobile robots lies in the reliability …

[Retracted] Reinforcement Learning‐Based Path Planning Algorithm for Mobile Robots

ZX Liu, Q Wang, B Yang - Wireless Communications and …, 2022 - Wiley Online Library
A robot path planning algorithm based on reinforcement learning is proposed. The algorithm
discretizes the information of obstacles around the mobile robot and the direction …

Mtg: Mapless trajectory generator with traversability coverage for outdoor navigation

J Liang, P Gao, X **ao… - … on Robotics and …, 2024 - ieeexplore.ieee.org
We present a novel learning-based trajectory generation algorithm for outdoor robot
navigation. Our goal is to compute collision-free paths that also satisfy the environment …

Dtg: Diffusion-based trajectory generation for mapless global navigation

J Liang, A Payandeh, D Song, X **ao… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
We present a novel end-to-end diffusion-based trajectory generation method, DTG, for
mapless global navigation in challenging outdoor scenarios with occlusions and …

Toward complete coverage planning using deep reinforcement learning by trapezoid-based transformable robot

DT Vo, AV Le, TD Ta, M Tran, P Van Duc, MB Vu… - … Applications of Artificial …, 2023 - Elsevier
Shape-shifting robots are the feasible solutions to solve the Complete Coverage Planning
(CCP) problem. These robots can extend the covered areas by reconfiguring their shape to …

Tgs: Trajectory generation and selection using vision language models in mapless outdoor environments

D Song, J Liang, X **ao, D Manocha - arxiv preprint arxiv:2408.02454, 2024 - arxiv.org
We present a multi-modal trajectory generation and selection algorithm for real-world
mapless outdoor navigation in challenging scenarios with unstructured off-road features like …

Robot navigation with reinforcement learned path generation and fine-tuned motion control

L Zhang, Z Hou, J Wang, Z Liu… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
In this letter, we propose a novel reinforcement learning (RL) based path generation (RL-
PG) approach for mobile robot navigation without a prior exploration of an unknown …