Danilo Demarchi

About

Danilo Demarchi is a pioneering researcher whose work spans biohybrid robotics, neuromorphic engineering, and advanced tactile sensing systems. His most celebrated contribution, the 2018 paper on electrically driven bioinspired soft robots (192 citations), demonstrated the remarkable potential of integrating cardiac muscle actuators onto hierarchically structured scaffolds to produce lifelike robotic movement — a breakthrough that has significantly shaped the field of soft robotics. Building on this foundation, his 2022 work on wirelessly powered 3D-printed biohybrid robots further advanced the integration of flexible electronics into autonomous soft machines. Demarchi has also made substantial contributions to tactile sensing for humanoid and wearable robotics, developing event-driven encoding strategies and robust CMOS read-out circuits that optimize data compression and energy efficiency. His neuromorphic approach to processing tactile information reflects a sophisticated understanding of biological systems, bridging engineering and neuroscience. Additionally, his investigations into UWB-based fall detection and home-care robotics underscore a commitment to translating advanced technology into meaningful healthcare applications. With a body of work that consistently merges biomimicry, low-power circuit design, and human-centered robotics, Demarchi represents a uniquely interdisciplinary voice whose innovations continue to influence both academic research and real-world robotic applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Electrically Driven Microengineered Bioinspired Soft Robots

   192 citations · 2018
2. 2
   Wirelessly Powered 3D Printed Hierarchical Biohybrid Robots with Multiscale Mechanical Properties

   47 citations · 2022
3. 3
   Event-driven encoding of off-the-shelf tactile sensors for compression and latency optimisation for robotic skin

   42 citations · 2017
4. 4
   A Robust Capacitive Digital Read-Out Circuit for a Scalable Tactile Skin

   18 citations · 2017
5. 5
   Commercial tactile sensors for hand exoskeletons: practical considerations for ultra-low cost and very-low complexity read-out

   14 citations · 2016
6. 6
   Assessing the Feasibility of Augmenting Fall Detection Systems by Relying on UWB-Based Position Tracking and a Home Robot

   13 citations · 2020
7. 7
   UWB Tracking for Home Care Systems with Off-the-Shelf Components

   11 citations · 2018
8. 8
   A hybrid quasi-digital/neuromorphic architecture for tactile sensing in humanoid robots

   10 citations · 2015
9. 9
   A Flexible Low-Power 130 nm CMOS Read-Out Circuit With Tunable Sensitivity for Commercial Robotic Resistive Pressure Sensors

   8 citations · 2015
10. 10
    A 130 nm Event-Driven Voltage and Temperature Insensitive Capacitive ROC

    7 citations · 2014

Key Collaborators

Contact & Links