A Novel Feature Learning-based Bio-inspired Neural Network for Real-time Collision-free Rescue of Multi-Robot Systems

no code implementations • 13 Mar 2024 • Junfei Li, Simon X. Yang

In this paper, a feature learning-based bio-inspired neural network (FLBBINN) is proposed to quickly generate a heuristic rescue path in complex and dynamic environments, as traditional approaches usually cannot provide a satisfactory solution to real-time responses to sudden environmental changes.

Intelligent Collective Escape of Swarm Robots Based on a Novel Fish-inspired Self-adaptive Approach with Neurodynamic Models

no code implementations • 6 Feb 2024 • Junfei Li, Simon X. Yang

Fish schools present high-efficiency group behaviors through simple individual interactions to collective migration and dynamic escape from the predator.

Intelligent Escape of Robotic Systems: A Survey of Methodologies, Applications, and Challenges

no code implementations • 23 Oct 2023 • Junfei Li, Simon X. Yang

As the emphasis on safety becomes increasingly paramount and advancements in robotic technologies continue to advance, a wide range of intelligent escape methodologies has been developed in recent years.