activity
20172022
most citedDeep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review

181 citations · 453 across the 25 of their papers we have counts for

collaborators

33 papers

q-bio.NC202210 cited

Grip force as a functional window to somatosensory cognition

Birgitta Dresp-Langley

Analysis of grip force signals tailored to hand and finger movement evolution and changes in grip force control during task execution provide unprecedented functional insight into…

cs.RO20228 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…

q-bio.NC202217 cited

Consciousness beyond neural fields: expanding the possibilities of what has not yet happened

Birgitta Dresp-Langley

In the field theories in physics, any particular region of the presumed space-time continuum and all interactions between elementary objects therein can be objectively measured and…

cs.RO20214 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…

q-bio.NC20214 cited

Surgical task expertise detected by a self-organizing neural network map

Birgitta Dresp-Langley, Rongrong Liu, John M. Wandeto

Individual grip force profiling of bimanual simulator task performance of experts and novices using a robotic control device designed for endoscopic surgery permits defining benchm…

q-bio.NC20216 cited

Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map

Birgitta Dresp-Langley, John M. Wandeto

Symmetry in biological and physical systems is a product of self organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry based feature extr…