# Evolutionary robotics

> Embodied approach to artificial intelligence

**Wikidata**: [Q3267529](https://www.wikidata.org/wiki/Q3267529)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Evolutionary_robotics)  
**Source**: https://4ort.xyz/entity/evolutionary-robotics

## Summary
Evolutionary robotics is an embodied approach to artificial intelligence that operates as a specialized subfield within robotics. It is classified as both an instance of and a distinct part of the broader discipline of robotics, which encompasses the design, construction, operation, and application of robots. This field is documented across multiple languages and academic databases.

## Key Facts
- **Definition:** Described as an "embodied approach to artificial intelligence."
- **Classification:** Recognized as an "instance of" robotics and a "part of" robotics.
- **Aliases:** Known internationally as *Robotica evolutiva* and *演化机器人学*.
- **Wikipedia Presence:** The entity has a dedicated Wikipedia title ("Evolutionary robotics") with a sitelink count of 11.
- **Language Availability:** Wikipedia entries exist in 11 languages: Arabic (ar), Catalan (ca), English (en), Spanish (es), Persian (fa), Hebrew (he), Japanese (ja), Portuguese (pt), Swedish (sv), Turkish (tr), and Cantonese (zh_yue).
- **Identifiers:**
    - **Freebase ID:** `/m/041mkf`
    - **Microsoft Academic ID:** `199505168` (discontinued service)
    - **Wikidata Description:** "Embodied approach to artificial intelligence"

## FAQs
### Q: How is evolutionary robotics classified within the broader field of technology?
A: It is classified specifically as an instance of robotics and is considered a part of the broader robotics discipline. Robotics itself is a subclass of mechatronics and control engineering.

### Q: What is the core methodological description of evolutionary robotics?
A: The field is defined as an "embodied approach to artificial intelligence," suggesting a focus on AI that is grounded in physical or simulated robotic forms.

### Q: In how many languages is information about evolutionary robotics available?
A: According to sitelink data, the entry is available in 11 languages, including English, Spanish, Japanese, Portuguese, and Swedish, among others.

## Why It Matters
Evolutionary robotics represents a specific convergence between artificial intelligence and physical systems. By defining itself as an "embodied approach," it distinguishes its methodology from purely software-based AI, emphasizing the importance of interaction with an environment (physical or simulated) in the development of intelligent behavior.

As a subfield of robotics—a discipline that combines electronics, mechanics, and AI—evolutionary robotics contributes to the exploration of how complex robotic behaviors and morphologies can emerge. Its presence in 11 distinct language Wikipedias and its indexing in major databases like Freebase and Microsoft Academic underscore its relevance as a recognized global area of research. It functions as a bridge between biological evolutionary concepts and engineering, expanding the toolkit available to roboticists for creating autonomous machines.

## Notable For
- **Embodied AI:** Being explicitly defined as an "embodied approach" to artificial intelligence, distinguishing its theoretical framework.
- **Global Documentation:** Having a multilingual presence (11 languages) on Wikipedia, indicating widespread international academic and public interest.
- **Distinct Terminology:** Possessing specific non-English nomenclature, such as *Robotica evolutiva* (Italian/Spanish contexts) and *演化机器人学* (Chinese).
- **Hierarchical Placement:** Being one of the few fields explicitly defined as both a "part of" and an "instance of" the parent field Robotics.

## Body
### Definition and Scope
Evolutionary robotics is a specialized domain within the larger field of robotics. It is strictly defined as an **embodied approach to artificial intelligence**. Unlike purely computational AI, this field implies a methodology where intelligence is developed or expressed through a body or agent interacting with an environment. The field is formally categorized as an "instance of" robotics and a "part of" robotics, placing it firmly within the hierarchy of mechatronics and control engineering.

### Nomenclature and Identity
The field is identified by various names and identifiers across academic and knowledge platforms.

- **Aliases:**
    - *Robotica evolutiva*
    - *演化机器人学*
- **Standard Identifiers:**
    - **Freebase ID:** `/m/041mkf` (referenced as of October 28, 2013).
    - **Microsoft Academic ID:** `199505168` (Note: Microsoft Academic was a discontinued bibliographic database).

### Global Presence and Documentation
Evolutionary robotics has established a significant footprint in global knowledge repositories. It maintains a **sitelink count of 11** across Wikipedia language editions, confirming its recognition in diverse linguistic regions. The specific languages documented include:
- Arabic (ar)
- Catalan (ca)
- English (en)
- Spanish (es)
- Persian (fa)
- Hebrew (he)
- Japanese (ja)
- Portuguese (pt)
- Swedish (sv)
- Turkish (tr)
- Cantonese (zh_yue)

### Context within Robotics
As a component of the broader robotics field, evolutionary robotics inherits the interdisciplinary nature of its parent discipline. Robotics is defined as the design, construction, operation, and application of robots, combining electronics, mechanics, and AI. While evolutionary robotics focuses on its specific embodied AI approach, it operates within the same ecosystem as other specialized subfields defined by the parent discipline, such as:
- **Scale-based fields:** Nanorobotics and Microbotics.
- **Biological fields:** Biorobotics and Neurorobotics.
- **Interaction fields:** Human-robot interaction and Social robotics.
- **Structural fields:** Soft robotics and Swarm robotics.

Evolutionary robotics contributes to the overall goal of the parent field: creating automated systems capable of performing tasks in complex environments.

## References

1. Freebase Data Dumps. 2013
2. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)