Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Neurocomputing, Journal Year: 2024, Volume and Issue: 608, P. 128423 - 128423
Published: Aug. 26, 2024
Language: Английский
Citations
17Soft 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
1Springer proceedings in advanced robotics, Journal Year: 2025, Volume and Issue: unknown, P. 84 - 98
Published: Jan. 1, 2025
Language: Английский
Citations
0Electronics, 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
0Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 148, P. 110373 - 110373
Published: March 11, 2025
Language: Английский
Citations
0International Journal of Intelligent Robotics and Applications, Journal Year: 2025, Volume and Issue: unknown
Published: March 23, 2025
Language: Английский
Citations
0Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 128087 - 128087
Published: May 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102874 - 102874
Published: Sept. 1, 2024
Language: Английский
Citations
3Journal of Network and Computer Applications, Journal Year: 2024, Volume and Issue: 233, P. 104041 - 104041
Published: Oct. 9, 2024
Language: Английский
Citations
2Robotics and Autonomous Systems, Journal Year: 2024, Volume and Issue: 181, P. 104771 - 104771
Published: Aug. 3, 2024
Language: Английский
Citations
2