6 papers · 1 filter
Learning Multi-Agent Task Assignment and Navigation in the Factory: from Simulation to Real Robots
Abdalwhab Bakheet Mohamed Abdalwhab, Giovanni Beltrame, David St-Onge
Reinforcement learning (RL) has shown considerable promise for robotic decision-making, yet deploying multi-agent RL (MARL) on physical multi-robot systems in industrial environmen…
GNN-based Decentralized Perception in Multirobot Systems for Predicting Worker Actions
Ali Imran, Giovanni Beltrame, David St-Onge
In industrial environments, predicting human actions is essential for ensuring safe and effective collaboration between humans and robots. This paper introduces a perception framew…
Physical Simulation for Multi-agent Multi-machine Tending
Abdalwhab Abdalwhab, Giovanni Beltrame, David St-Onge
The manufacturing sector was recently affected by workforce shortages, a problem that automation and robotics can heavily minimize. Simultaneously, reinforcement learning (RL) offe…
Multi-Objective Risk Assessment Framework for Exploration Planning Using Terrain and Traversability Analysis
Riana Gagnon Souleiman, Vivek Shankar Varadharajan, Giovanni Beltrame
Exploration of unknown, unstructured environments, such as in search and rescue, cave exploration, and planetary missions,presents significant challenges due to their unpredictable…
Learning Multi-agent Multi-machine Tending by Mobile Robots
Abdalwhab Abdalwhab, Giovanni Beltrame, Samira Ebrahimi Kahou +1
Robotics can help address the growing worker shortage challenge of the manufacturing industry. As such, machine tending is a task collaborative robots can tackle that can also high…
From the Lab to the Theater: An Unconventional Field Robotics Journey
Ali Imran, Vivek Shankar Varadharajan, Rafael Gomes Braga +6
Artistic performances involving robotic systems present unique technical challenges akin to those encountered in other field deployments. In this paper, we delve into the orchestra…