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 2604
Special Issue Editors
Interests: cognitive robotics; cognitive architectures; autonomous intelligent systems; ambient systems; automated 3D design
Interests: image processing; robot design; machine learning
Interests: computer vision; cognitive science; control theory; machine learning; humanoid robotics; cognitive systems
Special Issues, Collections and Topics in MDPI journals
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
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