We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
- In this paper, we propose a Multiobjective Self-adaptive Differential Evolution algorithm with objective-wise learning strategies (OW-MOSaDE) to solve numerical optimization pr...
Vicky Ling Huang, Shuguang Z. Zhao, Rammohan Malli...
— The paper presents the results of experimental tests carried out to validate the performance of a decentralized control law, for the collective circular motion of a team of non...
Daniele Benedettelli, Nicola Ceccarelli, Andrea Ga...
Evolutionary computation has shown a great potential to work out several real-world problems in the point of optimization, but it is still quite far from realizing a system of matc...
In this paper, we describe the concept of a new modality for interaction with digital maps. We propose using inclination as a means for panning maps on a mobile computing device, ...