13 citations · 14 across the 5 of their papers we have counts for
6 papers
Auto-HSI: Personalized human control of a robot swarm on demand by using LLMs for online automatic code generation
Alessandro Nazzari, Nathan Cerisara, Dorian Tonnis +5
This paper presents Auto-HSI, a method for generating personalized human-swarm interaction (HSI) interfaces on demand. The objective is to enable untrained operators to use natural…
Online automatic code generation for robot swarms: LLMs and self-organizing hierarchy
Weixu Zhu, Marco Dorigo, Mary Katherine Heinrich
Our recently introduced self-organizing nervous system (SoNS) provides robot swarms with 1) ease of behavior design and 2) global estimation of the swarm configuration and its coll…
Proactive-reactive detection and mitigation of intermittent faults in robot swarms
Sinan Oğuz, Emanuele Garone, Marco Dorigo +1
Intermittent faults are transient errors that sporadically appear and disappear. Although intermittent faults pose substantial challenges to reliability and coordination, existing…
Collective decision making by embodied neural agents
Nicolas Coucke, Mary Katherine Heinrich, Axel Cleeremans +2
Collective decision making using simple social interactions has been studied in many types of multi-agent systems, including robot swarms and human social networks. However, existi…
Centralization vs. decentralization in multi-robot sweep coverage with ground robots and UAVs
Aryo Jamshidpey, Mostafa Wahby, Michael Allwright +3
In swarm robotics, decentralized control is often proposed as a more scalable and fault-tolerant alternative to centralized control. However, centralized behaviors are often faster…
Self-organizing Nervous Systems for Robot Swarms
W. Zhu, S. Oguz, M. K. Heinrich +5
The system architecture controlling a group of robots is generally set before deployment and can be either centralized or decentralized. This dichotomy is highly constraining, beca…