activity
20162025
most citedDeep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review

181 citations · 309 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CG2025

Surface guided analysis of breast changes during post-operative radiotherapy by using a functional map framework

Pierre Galmiche, Hyewon Seo, Yvan Pin +3

The treatment of breast cancer using radiotherapy involves uncertainties regarding breast positioning. As the studies progress, more is known about the expected breast positioning…

eess.IV2021

A transfer-learning approach for lesion detection in endoscopic images from the urinary tract

Jorge F. Lazo, Sara Moccia, Aldo Marzullo +5

Ureteroscopy and cystoscopy are the gold standard methods to identify and treat tumors along the urinary tract. It has been reported that during a normal procedure a rate of 10-20…

cs.RO2021★ 181 cited

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…

cs.RO2021★ 1 cited

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,…

eess.IV2021

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture

Jorge F. Lazo, Aldo Marzullo, Sara Moccia +4

Ureteroscopy is becoming the first surgical treatment option for the majority of urinary affections. This procedure is performed using an endoscope which provides the surgeon with…

cs.RO2020★ 5 cited

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…