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HAVEN: Haptic And Visual Environment Navigation by a Shape-Changing Mobile Robot with Multimodal Perception.

Barry W Mulvey1, Thrishantha Nanayakkara2

  • 1Dyson School of Design Engineering, Imperial College London, London, SW7 2DB, UK. b.mulvey21@imperial.ac.uk.

Scientific Reports
|November 6, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces the Haptic And Visual Environment Navigation (HAVEN) Architecture for deformable robots. This system enhances agility in cluttered spaces by using vision and touch to predict, react to, and manipulate obstacles.

Keywords:
Bio-inspired roboticsDeformable robotEmbodied intelligenceMultimodal perception

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Biomimicry

Background:

  • Animals navigate complex environments using body-tuning for agility.
  • Current mobile robots are rigid and primarily avoid obstacles.
  • Deformable robots offer potential for enhanced mobility in obstructed terrains.

Purpose of the Study:

  • To develop a novel framework for deformable mobile robots to improve navigation in obstructed environments.
  • To integrate visual and proprioceptive feedback for enhanced robotic agility.
  • To enable autonomous predictive, reactive, and active obstacle manipulation.

Main Methods:

  • Introduction of the Haptic And Visual Environment Navigation (HAVEN) Architecture.
  • Algorithms for predictive (visual analysis), reactive (proprioceptive feedback), and active (obstacle manipulation) behaviors.
  • Experimental testing with a deformable robot navigating apertures of varying sizes and around diverse obstacles.

Main Results:

  • The HAVEN Architecture enables a deformable robot to navigate obstructed environments effectively.
  • The robot demonstrated higher navigation success rates.
  • An average 32% reduction in navigation time was achieved through active obstacle manipulation.

Conclusions:

  • Combining vision and proprioception with a deformable body significantly enhances robotic agility in cluttered spaces.
  • The HAVEN Architecture provides a robust framework for autonomous navigation and obstacle manipulation.
  • This research paves the way for more adaptable and efficient mobile robots in complex real-world scenarios.