4 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…
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…
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…