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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
BC
2000
99views more  BC 2000»
13 years 7 months ago
Spinal motor control system incorporates an internal model of limb dynamics
The existence and utilization of an internal representation of the controlled object is one of the most important features of the functioning of neural motor control systems. This ...
Yury P. Shimansky
ASC
2000
13 years 8 months ago
Extended Neural Model Predictive Control of Non-Linear Systems
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...
P. Gil, J. Henriques, A. Dourado, H. Duarte-Ramos
ICRA
1998
IEEE
166views Robotics» more  ICRA 1998»
13 years 11 months ago
Learning Techniques in a Dataglove Based Telemanipulation System for the DLR Hand
We present a setup to control a four- nger anthropomorphic robot hand using a dataglove. To be able to accurately use the dataglove we implemented a nonlinear learning calibration...
Max Fischer, P. Patrick van der Smagt, Gerd Hirzin...
SENSYS
2006
ACM
14 years 1 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...