Antonio Miele — accepted AI-conference papers

2025

Runtime Energy-Efficient Control Policy for Mobile Robots with Computing Workload and Battery Awareness

Chen Wu, M. Hashem Haghbayan, Abdul Malik, Antonio Miele, Juha Plosila

IROS 2025

Energy efficiency is a fundamental goal in robotic control. Various components within a robot, such as mechanical systems, computational units, and sensors, consume energy, all powered by the battery unit. Each component features several actuators and individual controllers that optimize energy usag

Cited by 0 Source ↗Scholar ↗

2021

Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload

Sherif A.S. Mohamed, Mohammad-Hashem Haghbayan, Antonio Miele, Onur Mutlu, Juha Plosila

IROS 2021poster

We propose an energy-efficient controller to minimize the energy consumption of a mobile robot by dynamically manipulating the mechanical and computational actuators of the robot. The mobile robot performs real-time vision-based applications based on an event-based camera. The actuators of the contr…

Cited by 6 Source ↗Scholar ↗