Tootfinder

This https://arxiv.org/abs/2311.09852 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning
Swarms of autonomous interactive drones, with the support of recharging technology, can provide compelling sensing capabilities in Smart Cities, such as traffic monitoring and disaster response. This paper aims to deliver a novel coordination solution for the cost-effective navigation, sensing, and recharging of drones. Existing approaches, such as deep reinforcement learning (DRL), offer long-term adaptability, but lack energy efficiency, resilience, and flexibility in dynamic environments. Th…

Some months ago, I created a replacement filter box for the Qidi X-Max 3. Today, I found that someone has remixed a "Bento box" filter for the X-Max 3. Mine is an exhaust filter; the "bento box" is a recirculating filter. So I wanted to link to the Bento box as an alternative to my design for anyone who wants a recirculating filter.
It happe…

recharging my alkaline batteries to own the libs

Autonomous Overhead Powerline Recharging for Uninterrupted Drone Operations
Viet Duong Hoang, Frederik Falk Nyboe, Nicolaj Haarh{\o}j Malle, Emad Ebeid
https://arxiv.org/abs/2403.06533

Autonomous Overhead Powerline Recharging for Uninterrupted Drone Operations
We present a fully autonomous self-recharging drone system capable of long-duration sustained operations near powerlines. The drone is equipped with a robust onboard perception and navigation system that enables it to locate powerlines and approach them for landing. A passively actuated gripping mechanism grasps the powerline cable during landing after which a control circuit regulates the magnetic field inside a split-core current transformer to provide sufficient holding force as well as batt…

Autonomous Overhead Powerline Recharging for Uninterrupted Drone Operations
Viet Duong Hoang, Frederik Falk Nyboe, Nicolaj Haarh{\o}j Malle, Emad Ebeid
https://arxiv.org/abs/2403.06533

Autonomous Overhead Powerline Recharging for Uninterrupted Drone Operations
We present a fully autonomous self-recharging drone system capable of long-duration sustained operations near powerlines. The drone is equipped with a robust onboard perception and navigation system that enables it to locate powerlines and approach them for landing. A passively actuated gripping mechanism grasps the powerline cable during landing after which a control circuit regulates the magnetic field inside a split-core current transformer to provide sufficient holding force as well as batt…

Energy versus Output Quality of Non-volatile Writes in Intermittent Computing
Rei Barjami, Antonio Miele, Luca Mottola
https://arxiv.org/abs/2403.07517 htt…

Energy versus Output Quality of Non-volatile Writes in Intermittent Computing
We explore how to improve the energy performance of battery-less Internet of Things (IoT) devices at the cost of a reduction in the quality of the output. Battery-less IoT devices are extremely resource-constrained energy-harvesting devices. Due to erratic energy patterns from the ambient, their executions become intermittent; periods of active computation are interleaved by periods of recharging small energy buffers. To cross periods of energy unavailability, a device persists application and …

$6 a day EV subscription service could disrupt the auto industry https://newatlas.com/automotive/helixx-subscription-ev/

This https://arxiv.org/abs/2311.09852 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning
Swarms of autonomous interactive drones, with the support of recharging technology, can provide compelling sensing capabilities in Smart Cities, such as traffic monitoring and disaster response. This paper aims to deliver a novel coordination solution for the cost-effective navigation, sensing, and recharging of drones. Existing approaches, such as deep reinforcement learning (DRL), offer long-term adaptability, but lack energy efficiency, resilience, and flexibility in dynamic environments. Th…

This https://arxiv.org/abs/2311.09852 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning
Swarms of autonomous interactive drones, with the support of recharging technology, can provide compelling sensing capabilities in Smart Cities, such as traffic monitoring and disaster response. This paper aims to deliver a novel coordination solution for the cost-effective navigation, sensing, and recharging of drones. Existing approaches, such as deep reinforcement learning (DRL), offer long-term adaptability, but lack energy efficiency, resilience, and flexibility in dynamic environments. Th…

This https://arxiv.org/abs/2311.09852 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning
Swarms of autonomous interactive drones, with the support of recharging technology, can provide compelling sensing capabilities in Smart Cities, such as traffic monitoring and disaster response. This paper aims to deliver a novel coordination solution for the cost-effective navigation, sensing, and recharging of drones. Existing approaches, such as deep reinforcement learning (DRL), offer long-term adaptability, but lack energy efficiency, resilience, and flexibility in dynamic environments. Th…