Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
From experience with wireless sensor networks it has become apparent that dynamic reprogramming of the sensor nodes is a useful feature. The resource constraints in terms of energ...
Adam Dunkels, Niclas Finne, Joakim Eriksson, Thiem...
To provide performant access to data from high energy physics experiments such as the Large Hadron Collider (LHC), controlled replication of files among grid sites is required. Dy...
Caitriana Nicholson, David G. Cameron, A. T. Doyle...
Management of large-scale Network-Centric Systems (NCS) and their applications is an extremely complex and challenging task due to factors such as centralized management architect...
Real-world action recognition applications require the development of systems which are fast, can handle a large variety of actions without a priori knowledge of the type of actio...