Vol. 2 No. 2 (2026): Special Issue on Intelligent Systems and Adaptive Control Technologies
This issue focuses on the interdisciplinary innovations in artificial intelligence, robotics, and intelligent control, featuring five representative research papers. These works span multiple cutting-edge directions, from in-vehicle dialogue systems and robot path planning to smart contract security detection, collectively embodying the core concepts of intelligence, adaptability, and bio-inspired mechanisms.
The paper EchoKG: A Dynamic User Preference Knowledge Graph for In-vehicle Dialogue Systems Based on the Ebbinghaus Forgetting Curve proposes a human-computer interaction framework integrating cognitive science theories. Obstacle Avoidance Path Planning for Robotic Arms Based on an Improved RRT Algorithm presents an efficient solution for motion planning in complex environments. Design of an Adaptive Stair-Climbing Robot Based on Heterogeneous Dual-Core Intelligent Control Technology demonstrates the application of intelligent control in special-purpose robots. Research on Bio-inspired Self-balancing Control Based on LIF Networks explores the potential of brain-inspired computing in control systems. Research on Fine-grained Detection Methods for Honeypot Contracts Based on LSTM and Fuzzing provides an intelligent detection approach for blockchain security. These advances not only propel technological progress in their respective fields but also offer significant references for the integrated applications of intelligent systems.
Published:
2026-01-14
