Papers
32
Total Citations
673
H-Index
16
About
Marco Randazzo is a leading figure in humanoid robotics, with a career defined by advancing how robots sense, interact with, and learn from their environments. His core research spans force and tactile sensing, whole-body control, and the development of robust software architectures for complex platforms. Randazzo’s major contributions include pioneering the integration of joint torque and capacitive tactile sensors into the iCub humanoid, enabling sophisticated force feedback and safe physical interaction. His work on computing internal and external wrenches using inertial and tactile sensors (37+ citations) has become foundational for humanoid dynamics. He also led the design and validation of the R1 personal humanoid (42 citations), a platform aimed at affordable service robotics. Notably, his research on asynchronous, event-based vision for time-to-contact estimation (57 citations) addresses critical gaps in real-time perception. With over 440 total citations across his top ten papers, Randazzo’s impact is evident in both hardware innovation and software evolution, including the widely-adopted iCub software architecture. His work continues to shape the next generation of autonomous, perceptive, and physically capable humanoid robots.
Research Focus
Key Achievements
Top Papers
- 1Force feedback exploiting tactile and proximal force/torque sensing85 citations · 2012
- 2Asynchronous visual event-based time-to-contact57 citations · 2014
- 3
- 4The design and validation of the R1 personal humanoid42 citations · 2017
- 5The iCub Platform: A Tool for Studying Intrinsically Motivated Learning40 citations · 2012
- 6Joint torque sensing for the upper-body of the iCub humanoid robot39 citations · 2009
- 7
- 8
- 9Embedded Distributed Capacitive Tactile Sensor31 citations · 2008
- 10The iCub Software Architecture: Evolution and Lessons Learned30 citations · 2016