Cognitive Robotics and Machine Learning
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 83
Special Issue Editor
Interests: cognitive robotics; artificial intelligence and control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue "Cognitive Robotics and Machine Learning" aims to explore the intersection between machine learning techniques and cognitive robotics research. Cognitive robotics focuses on creating intelligent robotic systems that are capable of perceiving, reasoning, and acting in dynamic environments. This is a common area leading to progress in robot learning and interactive cognitive robotics. This Special Issue welcomes contributions that address various aspects of machine learning in cognitive robotics, including but not limited to deep learning for perception, reinforcement learning for decision making, cognitive architectures for autonomous agents, human–robot interaction, and ethical considerations in robot learning. By bringing together researchers from both machine learning and robotics fields, this Special Issue seeks to advance our understanding of how machine learning can enhance the cognitive capabilities of robots and pave the way for intelligent, adaptive, and socially aware robotic systems. Authors are encouraged to report real robot experiments or provide convincing evidence that simulation experiments are transferable to real robots.- Machine learning representations in robotics;
- Cognitive robot foundation models and architectures;
- Imitation learning for robotics;
- Reinforcement learning for control and decision making;
- Human–robot interaction and robot instruction;
- Applications of robot learning and cognitive robotics;
- Ethical considerations in cognitive robotics.
Technical Program Committee Member
Name: Dr. Alejandro Chacón
Affiliation: Electrical, Electronics, and Telecomm Department, Universidad de las Fuerzas Armadas, Quito 171103, Ecuador
Email: [email protected]
Research Interests: robotics; human-robot interaction
Dr. Cecilio Angulo
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- robot learning
- cognitive robotics
- imitation and reinforcement learning
- human–robot interaction
