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20192026
most citedA Multi-Modal IoT Node for Energy-Efficient Environmental Monitoring with Edge AI Processing

8 citations · 19 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

High-Speed, Scalable Sensor Readout for Dexterous Robotic Hands via Shift-Register Multiplexing

Jaehoon Kim, Lazaros Christoforidis, Michalis Papadakis +2

Dexterous robotic hands require high-speed multimodal sensing across many degrees of freedom, yet existing readout architectures often impose trade-offs between sensor count, wirin…

cs.RO2024

BatDeck -- Ultra Low-power Ultrasonic Ego-velocity Estimation and Obstacle Avoidance on Nano-drones

Hanna Müller, Victor Kartsch, Michele Magno +1

Nano-drones, with their small, lightweight design, are ideal for confined-space rescue missions and inherently safe for human interaction. However, their limited payload restricts…

cs.RO2024★ 1 cited

GAP9Shield: A 150GOPS AI-capable Ultra-low Power Module for Vision and Ranging Applications on Nano-drones

Hanna Müller, Victor Kartsch, Luca Benini

The evolution of AI and digital signal processing technologies, combined with affordable energy-efficient processors, has propelled the development of both hardware and software fo…

cs.RO2024★ 1 cited

BatDeck: Advancing Nano-drone Navigation with Low-power Ultrasound-based Obstacle Avoidance

Hanna Müller, Victor Kartsch, Michele Magno +1

Nano-drones, distinguished by their agility, minimal weight, and cost-effectiveness, are particularly well-suited for exploration in confined, cluttered and narrow spaces. Recogniz…

cs.RO2023★ 1 cited

Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones

Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch +3

Nano-sized drones, with palm-sized form factor, are gaining relevance in the Internet-of-Things ecosystem. Achieving a high degree of autonomy for complex multi-objective missions…