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 …
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 …
technologies to navigate through the environment without human intervention. These …
Reinforcement learning-based complete area coverage path planning for a modified hTrihex robot
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 …
Current commercial indoor cleaning robots have fixed morphology and are restricted to …
Exploring reinforcement learning techniques in the realm of mobile robotics
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 …
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 …
discretizes the information of obstacles around the mobile robot and the direction …
Mtg: Mapless trajectory generator with traversability coverage for outdoor navigation
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 …
navigation. Our goal is to compute collision-free paths that also satisfy the environment …
Dtg: Diffusion-based trajectory generation for mapless global navigation
We present a novel end-to-end diffusion-based trajectory generation method, DTG, for
mapless global navigation in challenging outdoor scenarios with occlusions and …
mapless global navigation in challenging outdoor scenarios with occlusions and …
Toward complete coverage planning using deep reinforcement learning by trapezoid-based transformable robot
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 …
(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
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 …
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 …
PG) approach for mobile robot navigation without a prior exploration of an unknown …