A Systematic Literature Review of Decision-Making and Control Systems for Autonomous and Social Robots
Bibliographic Data
| ID | 21199657 |
|---|---|
| Authors | Marcos Maroto‐Gómez (0000-0001-9576-1731, Universidad Carlos III de Madrid, corresponding author), Fernándo Alonso-Martín (0000-0003-3013-968X, Universidad Carlos III de Madrid), María Malfáz (0000-0003-2317-3329, Universidad Carlos III de Madrid), Álvaro Castro‐González (0000-0002-5189-0002, Universidad Carlos III de Madrid), José Carlos Castillo (0000-0003-0454-9466, Universidad Carlos III de Madrid), Miguel Á Salichs (0000-0002-0263-6606, Universidad Carlos III de Madrid) |
| Year | 2023 |
| Volume | 15 |
| Issue | 5 |
| Pages | 745-789 |
| Publication date | 2023-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Social Robotics (JOURNAL) |
| Journal identifiers | ISSN: 1875-4791 • E-ISSN: 1875-4805 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12369-023-00977-3 |
| OpenAlex | W4360986002 |
| Language | EN |
| Citations received | 5 |
| References cited | 131 |
In the last years, considerable research has been carried out to develop robots that can improve our quality of life during tedious and challenging tasks. In these contexts, robots operating without human supervision open many possibilities to assist people in their daily activities. When autonomous robots collaborate with humans, social skills are necessary for adequate communication and cooperation. Considering these facts, endowing autonomous and social robots with decision-making and control models is critical for appropriately fulfiling their initial goals. This manuscript presents a systematic review of the evolution of decision-making systems and control architectures for autonomous and social robots in the last three decades. These architectures have been incorporating new methods based on biologically inspired models and Machine Learning to enhance these systems’ possibilities to developed societies. The review explores the most novel advances in each application area, comparing their most essential features. Additionally, we describe the current challenges of software architecture devoted to action selection, an analysis not provided in similar reviews of behavioural models for autonomous and social robots. Finally, we present the future directions that these systems can take in the future
Human–computer interaction · Robot · Robotics · AI in Service Interactions · Computer Science · Reinforcement Learning in Robotics · Social Robot Interaction and HRI · Artificial Intelligence
Can robots elicit empathy? The effects of social robots’ appearance on emotional contagion
Psychological insights into the research and practice of embodied conversational agents, chatbots and social assistive robots
Socially Assistive Robots in Mental Healthcare
Relational autonomy with robots. A focused ethnography of meal assistance robots
Robots with Heart
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Four Ways of Considering Emotion in Cognitive Load Theory
Toward sociable robots
On aims and methods of Ethology
A survey of socially interactive robots
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
Emotion and memory model for social robots
Emotion and Mood Blending in Embodied Artificial Agents
Maggie
Keepon
A Task Planner for an Autonomous Social Robot
On (not) defining cognition
Introducing the Social Robot Mario to People Living with Dementia in Long Term Residential Care
A Collaborative Homeostatic-Based Behavior Controller for Social Robots in Human–Robot Interaction Experiments
Social Robots for Long-Term Interaction
A Reinforcement Learning Based Cognitive Empathy Framework for Social Robots
Mini
Making New “New AI” Friends
Toward combining autonomy and interactivity for social robots
| Unique citing works | 5 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |