no code implementations • 8 Sep 2021 • Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Antonio Miele, Onur Mutlu, Juha Plosila
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.
no code implementations • 3 Mar 2021 • Jawad N. Yasin, Huma Mahboob, Mohammad-Hashem Haghbayan, Muhammad Mehboob Yasin, Juha Plosila
This work focuses on low-energy collision avoidance and formation maintenance in autonomous swarms of drones.
Robotics Multiagent Systems
no code implementations • 29 Oct 2020 • Sherif A. S. Mohamed, Jawad N. Yasin, Mohammad-Hashem Haghbayan, Antonio Miele, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila
In this paper, a novel asynchronous corner tracking method is proposed that uses both events and intensity images captured by a DAVIS camera.
no code implementations • 29 Oct 2020 • Jawad N. Yasin, Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Muhammad Mehboob Yasin, Juha Plosila
Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS).
no code implementations • 29 Oct 2020 • Sherif A. S. Mohamed, Jawad N. Yasin, Mohammad-Hashem Haghbayan, Antonio Miele, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila
The algorithm is based on an events' filtering strategy whose purpose is 1) to increase the accuracy by deliberately eliminating some incoming events, i. e., noise, and 2) to improve the real-time performance of the system, i. e., preserving a constant throughput in terms of input events per second, by discarding unnecessary events with a limited accuracy loss.