Design, Optimization and Performance Analysis of Cognitive Robotics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 1975

Special Issue Editors


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Guest Editor
Lab-STICC, IMT Atlantique, CS 83818-29238 Brest, France
Interests: cognitive robotics; cognitive architectures; autonomous intelligent systems; ambient systems; automated 3D design

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Guest Editor
Instituto Superior Técnico, Institute for Systems and Robotics (ISR-Lisbon), 1049-001 Lisboa, Portugal
Interests: image processing; robot design; machine learning

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Guest Editor
Instituto Superior Técnico, Institute for Systems and Robotics (ISR-Lisbon), 1049-001 Lisboa, Portugal
Interests: computer vision; cognitive science; control theory; machine learning; humanoid robotics; cognitive systems
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Special Issue Information

Dear Colleagues,

Cognitive Robotics is currently an actively developing domain, aiming to construct autonomous robots capable of becoming aware of their body schema and physical abilities; mapping their environment (indoors and outdoors); discovering affordable actions; as well as interacting with humans in a socially acceptable manner, both physically and dialogically, thus enabling human–robot collaboration.

The aim of this Special Issue on "Design, Optimization, and Performance Analysis in Cognitive Robotics" is to collect and disseminate scientific articles addressing challenges currently encountered in Cognitive Robotics, which include but are not limited to the following topics:

  • Knowledge representation in robots;
  • Knowledge grounding;
  • Navigation and mapping;
  • Grasping, manipulating, and placing;
  • Affordance discovery and tool use;
  • Machine learning for robotics;
  • Benchmarking robotic algorithms;
  • Planning with dynamically constructed planning domains;
  • Reasoning with dynamic goal management;
  • Dialogue systems;
  • Human–robot interaction; and
  • Designing appropriate cognitive architectures that link all of these aspects.

We particularly invite contributions that survey important open problems in these domains in order to provide informed guidance to researchers.

We also invite submissions on formal (non-bio-inspired) approaches for solving the problem of the cognitive architecture design.

Dr. Mihai Andries
Dr. Plinio Moreno
Dr. Alexandre Bernardino
Guest Editors

Manuscript Submission Information

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Keywords

  • cognitive robotics
  • robot design
  • cognitive architectures for robots
  • robotic learning algorithms
  • benchmarking

Published Papers (1 paper)

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21 pages, 20390 KiB  
Article
Functionalities, Benchmarking System and Performance Evaluation for a Domestic Service Robot: People Perception, People Following, and Pick and Placing
by Meysam Basiri, João Pereira, Rui Bettencourt, Enrico Piazza, Emanuel Fernandes, Carlos Azevedo and Pedro Lima
Appl. Sci. 2022, 12(10), 4819; https://doi.org/10.3390/app12104819 - 10 May 2022
Viewed by 1431
Abstract
This paper describes the development of three main functionalities for a domestic mobile service robot and an automatic benchmarking system used for the systematic performance evaluation of the robot’s functionalities. Three main robot functionalities are addressed: (1) People Perception, (2) People Following and [...] Read more.
This paper describes the development of three main functionalities for a domestic mobile service robot and an automatic benchmarking system used for the systematic performance evaluation of the robot’s functionalities. Three main robot functionalities are addressed: (1) People Perception, (2) People Following and (3) Pick and Placing, where the hardware and software systems developed for each functionality are described and demonstrated on an actual mobile service robot, with the goal of providing assistance to an elderly person inside the house. Furthermore, a set of innovative benchmarks and an automatic performance evaluation system are proposed and used to evaluate the performance of the developed functionalities. These benchmarks are now made publicly available and is part of the European Robotics League (ERL)-Consumer to systematically evaluate the performance of service robot solutions at different testbeds around Europe. Full article
(This article belongs to the Special Issue Design, Optimization and Performance Analysis of Cognitive Robotics)
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