Development of a Cognitive Robotic System for Simple Surgical Tasks

Riccardo Muradore; Paolo Fiorini; Gokhan Akgun; Duygun Erol Barkana; Marcello Bonfe; Fabrizio Boriero; Andrea Caprara; Giacomo De Rossi; Riccardo Dodi; Ole Jakob Elle; Federica Ferraguti; Lorenza Gasperotti; Roger Gassert; Kim Mathiassen; Dilla Handini; Olivier Lambercy; Lin Li; Maarja Kruusmaa; Auralius Oberman Manurung; Giovanni Meruzzi; Ho Quoc Phuong Nguyen; Nicola Preda; Gianluca Riolfo; Asko Ristolainen; Alberto Sanna; Cristian Secchi; Marco Torsello; Asim Evren Yantac

doi:10.5772/60137

Development of a Cognitive Robotic System for Simple Surgical Tasks

International Journal of Advanced Robotic Systems ◽

10.5772/60137 ◽

2015 ◽

Vol 12 (4) ◽

pp. 37 ◽

Cited By ~ 15

Author(s):

Riccardo Muradore ◽

Paolo Fiorini ◽

Gokhan Akgun ◽

Duygun Erol Barkana ◽

Marcello Bonfe ◽

...

Keyword(s):

Robotic System ◽

Cognitive Robotic

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A Cognitive Robotic System for a Human-Following Robot

Fuzzy Systems and Data Mining VI - Frontiers in Artificial Intelligence and Applications ◽

10.3233/faia200737 ◽

2020 ◽

Author(s):

Chien Van Dang ◽

Heungju Ahn ◽

Hyeon C. Seo ◽

Sang C. Lee

Keyword(s):

Operating System ◽

Cognitive Architecture ◽

Current Situation ◽

Robotic System ◽

Target Person ◽

Movement Direction ◽

Agent Based ◽

Computational Psychology ◽

Window Approach ◽

Cognitive Robotic

In this paper we propose a cognitive robotic system that utilizes computational psychology (the Soar cognitive architecture) and an obstacle avoidance method (modified dynamic window approach) in ROS (Robot Operating System) platform for controlling a mobile robot. This system is applied to perform a task of human-following, aiming to help the robot navigate itself to the target person avoiding collision. A cognitive agent based on Soar cognitive architecture is created to reason its current situation and make decisions on movement direction such as go-straight, turn-left or turn-right, whereas the dynamic window approach is modified to avoid collision by computing appropriate velocities for driving the robot motors. To the end, a part of implementation is presented to describes how the system works.

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