181 citations · 239 across the 7 of their papers we have counts for
7 papers
Spatiotemporal modeling of grip forces captures proficiency in manual robot control
Rongrong Liu, John M. Wandeto, Florent Nageotte +3
This paper builds on our previous work by exploiting Artificial Intelligence to predict individual grip force variability in manual robot control. Grip forces were recorded from va…
Data Stream Stabilization for Optical Coherence Tomography Volumetric Scanning
Guiqiu Liao, Oscar Caravaca-Mora, Benoit Rosa +7
Optical Coherence Tomography (OCT) is an emerging medical imaging modality for luminal organ diagnosis. The non-constant rotation speed of optical components in the OCT catheter ti…
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu, Florent Nageotte, Philippe Zanne +2
Deep learning has provided new ways of manipulating, processing and analyzing data. It sometimes may achieve results comparable to, or surpassing human expert performance, and has…
Wearable Sensors for Spatio-Temporal Grip Force Profiling
Rongrong Liu, Florent Nageotte, Philippe Zanne +2
Wearable biosensor technology enables real-time, convenient, and continuous monitoring of users behavioral signals. Such include signals relative to body motion, body temperature,…
Correlating grip force signals from multiple sensors highlights prehensile control strategies in a complex task-user system
Birgitta Dresp-Langley, Florent Nageotte, Philippe Zanne +1
Wearable sensor systems with transmitting capabilities are currently employed for the biometric screening of exercise activities and other performance data. Such technology is gene…
Sensors for expert grip force profiling: towards benchmarking manual control of a robotic device for surgical tool movements
Michel de Mathelin, Florent Nageotte, Philippe Zanne +1
STRAS (Single access Transluminal Robotic Assistant for Surgeons) is a new robotic system for application to intraluminal surgical procedures. Preclinical testing of STRAS has rece…