Ali Paikan — accepted AI-conference papers

2015

A best-effort approach for run-time channel prioritization in real-time robotic application

Ali Paikan, Ugo Pattacini, Daniele Domenichelli, Marco Randazzo, Giorgio Metta, Lorenzo Natale

IROS 2015poster

Application domains of robotic systems are growing in complexity. It seems therefore plausible that robotic software will continue to be designed to be executed on distributed computer architectures interconnected through a network. It is a common practice today to rely on best-effort performance an…

Cited by 11 Source ↗Scholar ↗

2015

Learning symbolic representations of actions from human demonstrations

Seyed Reza Ahmadzadeh, Ali Paikan, Fulvio Mastrogiovanni, Lorenzo Natale, Petar Kormushev, Darwin G. Caldwell

ICRA 2015poster

In this paper, a robot learning approach is proposed which integrates Visuospatial Skill Learning, Imitation Learning, and conventional planning methods. In our approach, the sensorimotor skills (i.e., actions) are learned through a learning from demonstration strategy. The sequence of performed act…

Cited by 85 Source ↗Scholar ↗