Marsellus: A heterogeneous RISC-V AI-IoT end-node SoC with 2–8 b DNN acceleration and 30%-boost adaptive body biasing

F Conti, G Paulin, A Garofalo, D Rossi… - IEEE Journal of Solid …, 2023 - ieeexplore.ieee.org
Emerging artificial intelligence-enabled Internet-of-Things (AI-IoT) system-on-chip (SoC) for
augmented reality, personalized healthcare, and nanorobotics need to run many diverse …

Energy-efficient, precise uwb-based 3-d localization of sensor nodes with a nano-uav

V Niculescu, D Palossi, M Magno… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Smart interaction between autonomous centimeter-scale unmanned aerial vehicles (ie,
nano-UAVs) and Internet of Things (IoT) sensor nodes is an upcoming high-impact scenario …

Robust and efficient depth-based obstacle avoidance for autonomous miniaturized uavs

H Müller, V Niculescu, T Polonelli… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Nanosize drones hold enormous potential to explore unknown and complex environments.
Their small size makes them agile and safe for operation close to humans and allows them …

Ultra-low power deep learning-based monocular relative localization onboard nano-quadrotors

S Bonato, SC Lambertenghi, E Cereda… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Precise relative localization is a crucial functional block for swarm robotics. This work
presents a novel au-tonomous end-to-end system that addresses the monocular relative …

Towards a multi-pixel time-of-flight indoor navigation system for nano-drone applications

V Niculescu, H Müller, I Ostovar… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have recently attracted the industry's attention due to their
numerous civilian and potential commercial applications. A promising UAV subclass …

Stargate: Multimodal Sensor Fusion for Autonomous Navigation On Miniaturized UAVs

K Kalenberg, H Müller, T Polonelli… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Autonomously navigating robots need to perceive and interpret their surroundings.
Currently, cameras are among the most used sensors due to their high resolution and frame …

NanoSLAM: Enabling fully onboard slam for tiny robots

V Niculescu, T Polonelli, M Magno… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Perceiving and mapping the surroundings are essential for autonomous navigation in any
robotic platform. The algorithm class that enables accurate mapping while correcting the …

A sim-to-real deep learning-based framework for autonomous nano-drone racing

L Lamberti, E Cereda, G Abbate… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles'
perception, planning, and control skills. The recent emergence of autonomous nano-sized …

[HTML][HTML] Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review

AVR Katkuri, H Madan, N Khatri, ASH Abdul-Qawy… - Array, 2024 - Elsevier
The increasing use of unmanned aerial vehicles (UAVs) in both military and civilian
applications, such as infrastructure inspection, package delivery, and recreational activities …

Fully on-board low-power localization with multizone time-of-flight sensors on nano-uavs

H Müller, N Zimmerman, T Polonelli… - … , Automation & Test …, 2023 - ieeexplore.ieee.org
Nano-size unmanned aerial vehicles (UAVs) hold enormous potential to perform
autonomous operations in complex environments, such as inspection, monitoring or data …