181 citations · 222 across the 5 of their papers we have counts for
5 papers
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…
An adaptive and fully automatic method for estimating the 3D position of bendable instruments using endoscopic images
Paolo Cabras, Florent Nageotte, Philippe Zanne +1
Background. Flexible bendable instruments are key tools for performing surgical endoscopy. Being able to measure the 3D position of such instruments can be useful for various tasks…