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IJCNN
2006
IEEE
14 years 24 days ago
Reinforcement Learning for Parameterized Motor Primitives
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
Jan Peters, Stefan Schaal
DATE
2002
IEEE
94views Hardware» more  DATE 2002»
13 years 11 months ago
FACTOR: A Hierarchical Methodology for Functional Test Generation and Testability Analysis
This paper develops an improved approach for hierarchical functional test generation for complex chips. In order to deal with the increasing complexity of functional test generati...
Vivekananda M. Vedula, Jacob A. Abraham
CASES
2007
ACM
13 years 10 months ago
Lightweight barrier-based parallelization support for non-cache-coherent MPSoC platforms
Many MPSoC applications are loop-intensive and amenable to automatic parallelization with suitable compiler support. One of the key components of any compiler-parallelized code is...
Andrea Marongiu, Luca Benini, Mahmut T. Kandemir
ESANN
2001
13 years 8 months ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 5 months ago
Human-guided grasp measures improve grasp robustness on physical robot
— Humans are adept at grasping different objects robustly for different tasks. Robotic grasping has made significant progress, but still has not reached the level of robustness ...
Ravi Balasubramanian, Ling Xu, Peter D. Brook, Jos...