Swarm robotics is moving toward systems of many simple, low-cost robots whose local interactions produce complex collective behaviors. A new review in the Chinese journal Robot examines this field for extreme environments such as disaster response, deep sea, and space exploration.
Key takeaways
- Simple robots use lightweight hardware, minimal sensors (IR, touch), and rule-based control, costing an order of magnitude less than high-intelligence robots.
- Swarm intelligence emerges from local interactions—no global model or explicit communication required—enabling tasks like search, transport, and coverage.
- Research spans three levels: individual design (mobility, architecture), group interaction (communication, environment coupling), and system emergence (collective behaviors).
- Performance is validated via simulation, physical experiments, and formal verification.
- Challenges remain in transitioning from lab to real extreme environments, including robustness, scalability, and adaptability.
The review categorizes simple robots by mobility—differential, omnidirectional, vibrating, and collaborative—and highlights platforms like e-puck, Kilobots, and Foot-bot. It emphasizes that redundancy and distributed control let swarms continue tasks despite failures. Future work should focus on hardware-software co-design and adaptive mechanisms for harsh conditions.
Source: 《机器人》期刊 (robot.sia.cn) · Published 2026-07-15 · “从简智能体到群智涌现：面向极端环境协同作业的简智能体机器人集群系统”