TechniaHQRobot logoTechniaHQRobot

Emerging and research robotics

Modular Self Reconfigurable Robots

Robots made of modules that can connect and rearrange to change shape.

Category reference

What modular self reconfigurable robots are

Modular Self Reconfigurable Robots are robotic systems built for delicate gripping, medical devices, wearables. They use sensors, actuators, embedded compute, control software, and task logic to act in physical environments.

This reference describes the category rather than a particular commercial product. Capabilities depend on the robot, its tools, software, operating environment and safety design. Product claims should be checked against the manufacturer documentation for the exact model and configuration.

How modular self reconfigurable robots work

A modular self reconfigurable robots system senses the world using soft strain sensors, pressure sensors, flex sensors, tactile skins, embedded optical fibers, estimates state, plans a task or route, and commands pneumatic chambers, hydraulic soft actuators, cable driven tendons, shape memory alloys. Feedback loops compare the intended motion with what actually happened and trigger corrections, retries, or a safe stop.

Typical applications

  • delicate gripping
  • medical devices
  • wearables
  • food handling
  • research labs

Representative systems and formats

  • Modular Self Reconfigurable Robots research platforms
  • Modular Self Reconfigurable Robots commercial systems
  • Modular Self Reconfigurable Robots pilot deployments

Key technologies

  • compliant materials
  • soft sensing
  • pneumatic actuation
  • bio inspired design
  • morphological computation

Common sensors

  • soft strain sensors
  • pressure sensors
  • flex sensors
  • tactile skins
  • embedded optical fibers
  • IMU

Actuation and movement

  • pneumatic chambers
  • hydraulic soft actuators
  • cable driven tendons
  • shape memory alloys
  • dielectric elastomer actuators

Software functions

  • soft body modeling
  • sensor fusion
  • trajectory control
  • shape estimation
  • closed loop pressure control

What to verify before deployment

A category description cannot predict performance in a specific workplace. Test the real task, environment and exception cases. Record where the system needs human recovery and confirm that the complete application has an appropriate safety assessment.

  • Performance drops when sensors face glare, dust, occlusion, deformable objects, poor lighting, water, smoke, or unexpected human behavior.
  • Hardware maintenance matters because motors, joints, seals, batteries, cables, and sensors degrade.
  • Most reliable autonomy is narrow and workflow specific.
  • Integration cost includes training, safety validation, spare parts, maps, network coverage, and support.
  • Human supervision is often needed for edge cases, recovery, cleaning, charging, or exceptions.

Continue with reviewed resources

Robotics softwareRobot sensorsRobot componentsRobotics topicsSoft RoboticsHumanoid RobotsAI Powered Robotic PlatformsRobotic Grippers and End Effectors