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» Future developments of IMS Learning Design tooling
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NIPS
1993
15 years 4 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
APIN
1998
139views more  APIN 1998»
15 years 2 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
SOCA
2010
IEEE
15 years 26 days ago
Virtualised e-Learning with real-time guarantees on the IRMOS platform
In this paper we focus on how Quality of Service guarantees are provided to virtualised applications in the Cloud Computing infrastructure that is being developed in the context of...
Tommaso Cucinotta, Fabio Checconi, Zlatko Zlatev, ...
DAC
2004
ACM
16 years 4 months ago
Heterogeneous MP-SoC: the solution to energy-efficient signal processing
To meet conflicting flexibility, performance and cost constraints of demanding signal processing applications, future designs in this domain will contain an increasing number of a...
Tim Kogel, Heinrich Meyr
ICRA
2005
IEEE
128views Robotics» more  ICRA 2005»
15 years 8 months ago
Carbon Fiber Components with Integrated Wiring for Millirobot Prototyping
- We are developing a process to quickly prototype millirobotic systems in which the approach is to identify and develop a construction kit for fabricating almost any design, simil...
Ranjana Sahai, Erik Steltz, Ronald S. Fearing