6 papers
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…
Are Open-Vocabulary Models Ready for Detection of MEP Elements on Construction Sites
Abdalwhab Abdalwhab, Ali Imran, Sina Heydarian +2
The construction industry has long explored robotics and computer vision, yet their deployment on construction sites remains very limited. These technologies have the potential to…
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…
The eyes and hearts of UAV pilots: observations of physiological responses in real-life scenarios
Alexandre Duval, Anita Paas, Abdalwhab Abdalwhab +1
The drone industry is diversifying and the number of pilots increases rapidly. In this context, flight schools need adapted tools to train pilots, most importantly with regard to t…