Optical Flow-Based Markov Decision Process Control Strategies for Autonomous Mobile Robots in Dynamic Environments DOI

Seth Gibson-Todd,

Seunghan Lee, Yinwei Zhang

et al.

Published: Jan. 1, 2024

Language: Английский

Recent progress, challenges and future prospects of applied deep reinforcement learning : A practical perspective in path planning DOI
Ye Zhang, Wang Zhao, Jingyu Wang

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: 608, P. 128423 - 128423

Published: Aug. 26, 2024

Language: Английский

Citations

17
Biohybrid Behavior-Based Navigation with Obstacle Avoidance for Cyborg Insect in Complex Environment DOI
Mochammad Ariyanto, Xiaofeng Zheng, Ryo Tanaka

et al.

Soft Robotics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Autonomous navigation of cyborg insects in complex environments remains a challenging issue. Cyborg insects, which combine biological organisms with electronic components, offer unique approach to tackle such challenges. This study presents biohybrid behavior-based (BIOBBN) system that enables cockroaches navigate autonomously. Two algorithms were developed: reach-avoid for less and adaptive more scenarios. algorithm, especially the second one, leveraged cockroaches' natural behaviors, as wall-following climbing, around over obstacles. Experiments simulated environments, including sand rock-covered surfaces, demonstrate effectiveness BIOBBN enabling reach target locations. The denser scenario required time due increased obstacle avoidance climbing behavior. Overall performance was promising, highlighting potential autonomous navigating environments.

Language: Английский

Citations

1
Semantic-Aware Motion Planning via Building Digital Twin Data DOI

Tom van Eemeren,

Koen Vos, Pieter Pauwels

et al.

Springer proceedings in advanced robotics, Journal Year: 2025, Volume and Issue: unknown, P. 84 - 98

Published: Jan. 1, 2025

Language: Английский

Citations

0
Integrated Rover Path Planning and Validation on Real Outdoor Terrain Scenarios Using Satellite Information to Conduct a Real Achievable Trajectory DOI Open Access
Stelian Brad,

Bogdan Balog

Electronics, Journal Year: 2025, Volume and Issue: 14(5), P. 921 - 921

Published: Feb. 26, 2025

The reliable and efficient navigation for mobile robots across challenging outdoor terrains is critical autonomous robotics. Traditional methods planning the path of such often emphasize minimizing travel distance but do not accommodate terrain stability, variability, or energy efficiency. study proposes an integrated approach between satellite-driven geolocation data terrain-specific features that enhance strategies in complex environments. Our method a controller uses search-based algorithms to generate energy-efficient dynamically stable trajectories incorporating surface characteristics environmental from satellite imagery. By integrating our method, proposed framework identifies safer more routes, achieving significant 32% improvement traction compared conventional models path-finding approaches. method’s benefits over traditional approaches include improved safety, extended operational efficiency, ability navigate unpredictable dynamic This makes it ideal planetary exploration, disaster response landslide-prone areas, agricultural automation precision farming rough terrains, search rescue operations earthquake-affected delivery systems into rural unstructured landscapes. It redefines through terrain-aware delivers robust performance

Language: Английский

Citations

0
A plug-and-play fully on-the-job real-time reinforcement learning algorithm for a direct-drive tandem-wing experiment platforms under multiple random operating conditions DOI
Minghao Zhang, Bifeng Song, Yang Xiao-jun

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 148, P. 110373 - 110373

Published: March 11, 2025

Language: Английский

Citations

0
SAC-alpha: dynamic entropy adjustment for enhanced autonomous exploration in unknown environments DOI
Walid Jebrane,

Ihssane Bouasria,

Nabil El Akchioui

et al.

International Journal of Intelligent Robotics and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: March 23, 2025

Language: Английский

Citations

0
Optical Flow-based Markov Decision Process Control Strategies for Autonomous Mobile Robots in Dynamic Environments DOI

Seth Gibson-Todd,

Seunghan Lee, Yinwei Zhang

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 128087 - 128087

Published: May 1, 2025

Language: Английский

Citations

0
Optimized TD3 Algorithm for Robust Autonomous Navigation in Crowded and Dynamic Human-Interaction Environments DOI Creative Commons
Husam A. Neamah,

Oscar A. Mayorga

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102874 - 102874

Published: Sept. 1, 2024

Language: Английский

Citations

3
A Comprehensive Systematic Review on Machine Learning Application in the 5G-RAN Architecture: Issues, Challenges, and Future Directions DOI
Mohammed Talal, Salem Garfan,

Rami Qays

et al.

Journal of Network and Computer Applications, Journal Year: 2024, Volume and Issue: 233, P. 104041 - 104041

Published: Oct. 9, 2024

Language: Английский

Citations

2
Optimizing Robotic Arm Control Using Deep Q-Learning and Artificial Neural Networks Through Demonstration-Based Methodologies: A Case Study of Dynamic and Static Conditions DOI
Tianci Gao

Robotics and Autonomous Systems, Journal Year: 2024, Volume and Issue: 181, P. 104771 - 104771

Published: Aug. 3, 2024

Language: Английский

Citations

2