Submersible Microrobotics

Report on Current Developments in Submersible Microrobotics

General Direction of the Field

The field of submersible microrobotics is witnessing significant advancements, particularly in the development of low-power actuators, bioinspired propulsion mechanisms, and adaptive control systems. Researchers are focusing on creating autonomous and controllable microswimmers that can operate efficiently in complex aquatic environments. The integration of novel actuation technologies, such as shape-memory alloy (SMA) based systems, is enabling the design of smaller, lighter, and more energy-efficient microrobots. Additionally, there is a growing emphasis on bioinspired designs that mimic the locomotion of aquatic organisms, enhancing the robots' maneuverability and efficiency in underwater settings.

Advancements in control systems are also playing a crucial role, with reinforcement learning and neural network-based approaches being explored to enable adaptive and robust control of autonomous underwater vehicles (AUVs). These techniques are addressing the challenges posed by complex hydrodynamic forces and varying environmental conditions, allowing for more agile and versatile microrobotic systems.

Noteworthy Innovations

  1. Low-Power SMA-Based Actuators: The development of a 13-mg SMA-based actuator that operates efficiently in both air and water is a significant breakthrough, potentially enabling fully autonomous submersible microswimmers.

  2. Bioinspired Underwater Propulsion: The FRISSHBot, inspired by carangiformes, represents a novel approach to underwater propulsion, leveraging fluid-structure interaction to achieve high speeds in a lightweight design.

  3. Adaptive Control Systems: The use of reinforcement learning for 6-DOF control of AUVs demonstrates a promising approach to handling the complexities of underwater dynamics, offering robust control without the need for frequent re-tuning.

  4. Neural ODEs for Hydrodynamic Modeling: The application of Neural ODEs to model and adapt to complex hydrodynamic conditions is a notable innovation, enhancing the adaptive capabilities of amphibious quadruped robots in dynamic underwater environments.

These advancements collectively push the boundaries of what is possible in submersible microrobotics, paving the way for more autonomous, efficient, and versatile underwater systems.

Sources

Progress Towards Submersible Microrobots: A Novel 13-mg Low-Power SMA-Based Actuator for Underwater Propulsion

A New 10-mg SMA-Based Fast Bimorph Actuator for Microrobotics

AquaMILR+: Design of an untethered limbless robot for complex aquatic terrain navigation

Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles

Micromanipulation System for Microscale Magnetic Component Alignment and Assembly

Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions

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