Embodiment and Computational Innovation in Robotics and AI

The Convergence of Embodiment and Computational Innovation in Robotics and AI

Recent advancements in robotics and artificial intelligence are increasingly emphasizing the integration of physical embodiment with computational frameworks. This trend is driven by the recognition that cognition and intelligence are not solely the domain of human brains but are fundamental properties of all living systems, from single cells to complex organisms. This shift challenges traditional computational models that prioritize symbolic processing, advocating instead for models that account for the inherent constraints and potentialities of physical embodiment.

In robotics, there is a notable move towards creating more versatile and adaptable systems. This includes the development of robots with kinematic loops, which enhance the complexity and realism of robotic models, and the creation of freeform endoskeletal robots that bridge the gap between rigid and soft body designs. Additionally, modular microrobotics is advancing, with innovations in self-assembly and multi-functional capabilities at microscopic scales.

In AI, the focus is on rethinking cognition through morphological info-computation, where natural structures and processes are seen as forms of information processing. This approach broadens the scope of computational models to include biological and physical processes, offering new insights into how intelligence can be embodied and extended across different levels of organization.

Noteworthy developments include:

  • The introduction of URDF+, an enhanced format for describing robots with kinematic loops, which addresses a significant limitation in current robotics standards.
  • The exploration of cognition through morphological info-computational frameworks, which challenge traditional computational models by integrating biological and physical processes.
  • The creation of freeform endoskeletal robots, which represent a significant leap in the design of versatile and adaptable robotic systems.
  • Advances in modular microrobotics, demonstrating the potential for highly integrated and functional devices at microscopic scales.

Sources

URDF+: An Enhanced URDF for Robots with Kinematic Loops

The use of knowledge in open-ended systems

Rethinking Cognition: Morphological Info-Computation and the Embodied Paradigm in Life and Artificial Intelligence

Exploring Cognition through Morphological Info-Computational Framework

Generating Freeform Endoskeletal Robots

3D Modular Microrobots: Micro-Origami Cubes with Integrated Si Chips Dive, Communicate, Flash Programs, and Form Collectives

Fast ground-to-air transition with avian-inspired multifunctional legs

Fine Tuning Swimming Locomotion Learned from Mosquito Larvae

Real-time Dynamics of Soft Manipulators with Cross-section Inflation: Application to the Octopus Muscular Hydrostat

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