Marsellus: A heterogeneous RISC-V AI-IoT end-node SoC with 2–8 b DNN acceleration and 30%-boost adaptive body biasing
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 …
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
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 …
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
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 …
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 …
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
Unmanned aerial vehicles (UAVs) have recently attracted the industry's attention due to their
numerous civilian and potential commercial applications. A promising UAV subclass …
numerous civilian and potential commercial applications. A promising UAV subclass …
Stargate: Multimodal Sensor Fusion for Autonomous Navigation On Miniaturized UAVs
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 …
Currently, cameras are among the most used sensors due to their high resolution and frame …
NanoSLAM: Enabling fully onboard slam for tiny robots
Perceiving and mapping the surroundings are essential for autonomous navigation in any
robotic platform. The algorithm class that enables accurate mapping while correcting the …
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
Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles'
perception, planning, and control skills. The recent emergence of autonomous nano-sized …
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
The increasing use of unmanned aerial vehicles (UAVs) in both military and civilian
applications, such as infrastructure inspection, package delivery, and recreational activities …
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
Nano-size unmanned aerial vehicles (UAVs) hold enormous potential to perform
autonomous operations in complex environments, such as inspection, monitoring or data …
autonomous operations in complex environments, such as inspection, monitoring or data …