Cosci Press-Journal of Artificial Intelligence & Control Systems

Vol.2 2026 - Issue 1

Open Access

16 March 2026

Immersion and Invariance Adaptive Fault-Tolerant Attitude Control for a Coaxial Tilt-Rotor eVTOL Aircraft

by Zheng Hou, Zongyang Lv and Yuhu Wu

Abstract This paper proposes an adaptive fault-tolerant attitude control strategy based on the Immersion and Invariance (I&I) methodology for a Coaxial Tilt-Rotor (CTR) eVTOL aircraft. The CTR-eVTOL, equipped with two pairs of CTR modules and a rear rotor, exhibiting strong nonlinearity, underactuated, and strong coupling characteristics, faces significant challenges in maintaining stable attitude control [...] Read more.

Open Access

25 February 2026

Multimodal AI: PaLM-E’s Role in Vision–Language–Robotics & the Future of Efficient Fine-Tuning

by Zarif Bin Akhtar

Abstract The convergence of vision, language, and robotics represents a critical step toward building embodied artificial intelligence systems capable of robust perception, reasoning, and action in real-world environments. This study presents a structured and analytical investigation of PaLM-E, an embodied multimodal language model, examining its role in unifying vision–language reasoning with robotic con [...] Read more.

Open Access

05 December 2025

Optimization and Analysis of Random Forest Regression Algorithm for Medal Table Prediction

by Mengting Li, Kaiwen Huang, Boshuai Wei and Qianqian Zhang

Abstract In response to the challenges of high-dimensional data overfitting, difficulty in adapting to dynamic rules, and insufficient quantification of key factors in Olympic medal prediction, this paper proposes a hybrid prediction framework integrating Graph Neural Networks, Random Forest, and dynamic causal analysis. The core innovations of the framework include: the first two-stage feature screening [...] Read more.

Open Access

26 December 2025

Cognitive Correction of Data Transmission During Attacks on Drone Swarms Which Use Relay

by Volodymyr Kharchenko, Andrii Grekhov and Vasyl Kondratiuk

Abstract Research is devoted to the problem of protecting communication channels for Unmanned Aerial Vehicles (UAVs) swarm using Repeater from interference during attacks. Repeater increases the range of UAVs, but increases vulnerability to attacks. To simulate attacks and cognitive adaptation of channel parameters, an original model “Base Station – Artificial Intelligence System – Attacker – Repeater – U [...] Read more.