5 citations · 10 across the 7 of their papers we have counts for
16 papers
Extracting Symbolic Models of Collective Behaviors with Graph Neural Networks and Macro-Micro Evolution
Stephen Powers, Carlo Pinciroli
Collective behaviors are typically hard to model. The scale of the swarm, the large number of interactions, and the richness and complexity of the behaviors are factors that make i…
A Study of Reinforcement Learning Algorithms for Aggregates of Minimalistic Robots
Joshua Bloom, Apratim Mukherjee, Carlo Pinciroli
The aim of this paper is to study how to apply deep reinforcement learning for the control of aggregates of minimalistic robots. We define aggregates as groups of robots with a phy…
Hacking the Colony: On the Disruptive Effect of Misleading Pheromone and How to Defend Against It
Ashay Aswale, Antonio Lopez, Aukkawut Ammartayakun +1
Ants have evolved to seek and retrieve food by leaving trails of pheromones. This mechanism has inspired several approaches to decentralized multi-robot coordination. However, in t…
Air-Releasable Soft Robots for Explosive Ordnance Disposal
Tyler C. Looney, Nathan M. Savard, Gus T. Teran +8
The demining of landmines using drones is challenging; air-releasable payloads are typically non-intelligent (e.g., water balloons or explosives) and deploying them at even low alt…
On Multi-Human Multi-Robot Remote Interaction: A Study of Transparency, Inter-Human Communication, and Information Loss in Remote Interaction
Jayam Patel, Prajankya Sonar, Carlo Pinciroli
In this paper, we investigate how to design an effective interface for remote multi-human multi-robot interaction. While significant research exists on interfaces for individual hu…
Direct and Indirect Communication in Multi-Human Multi-Robot Interaction
Jayam Patel, Tyagaraja Ramaswamy, Zhi Li +1
How can multiple humans interact with multiple robots? The goal of our research is to create an effective interface that allows multiple operators to collaboratively control teams…