activity
20172023
most citedDeep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review

181 citations · 750 across the 39 of their papers we have counts for

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8 papers · 1 filter

cs.RO2023★ 10 cited

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…

cs.RO2022★ 8 cited

From Biological Synapses to Intelligent Robots

Birgitta Dresp-Langley

This review explores biologically inspired learning as a model for intelligent robot control and sensing technology on the basis of specific examples. Hebbian synaptic learning is…

cs.RO2021★ 4 cited

Making Sense of Complex Sensor Data Streams

Rongrong Liu, Birgitta Dresp-Langley

This concept paper draws from our previous research on individual grip force data collected from biosensors placed on specific anatomical locations in the dominant and non dominant…

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

From hand to brain and back: Grip forces deliver insight into the functional plasticity of somatosensory processes

Birgitta Dresp-Langley

The human somatosensory cortex is intimately linked to other central brain functions such as vision, audition, mechanoreception, and motor planning and control. These links are est…

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,…

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…

cs.RO2020★ 17 cited

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…