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Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
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Published on: December 19, 2016

Minimal perception: enabling autonomy in resource-constrained robots.

Chahat Deep Singh1,2, Botao He1, Cornelia Fermüller1

  • 1Perception and Robotics Group, Department of Computer Science, University of Maryland, College Park, MD, United States.

Frontiers in Robotics and AI
|October 3, 2024
PubMed
Summary
This summary is machine-generated.

Tiny autonomous robots face perception challenges due to size constraints. This study proposes a minimal perception framework inspired by insects for efficient, real-time navigation in resource-limited robots.

Keywords:
autonomydepth estimationfrugal AIminimal AInavigationoptical flowresource-constrained

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Bio-inspired Engineering

Background:

  • Autonomous mobile robots are increasingly capable and essential for applications like disaster management and environmental monitoring.
  • Onboard sensing and computation are crucial for robot autonomy, especially in remote or hazardous environments.
  • Advancements in perception algorithms enable robots to navigate using onboard data, but resource constraints hinder tiny robot autonomy.

Purpose of the Study:

  • To address the real-time perception bottleneck in resource-constrained tiny autonomous robots.
  • To provide design insights for a compact and efficient minimal perception framework for robots under 100 mm.
  • To draw inspiration from the sophisticated perception and navigation abilities of tiny organisms like insects and hummingbirds.

Main Methods:

  • Investigating the perception and navigation strategies of small organisms.
  • Developing a minimal perception framework for tiny autonomous robots.
  • Focusing on sensor, memory, and computing constraints inherent in small-scale robotics.

Main Results:

  • The proposed framework aims to enable real-time perception for tiny robots.
  • Insights are provided for designing efficient perception systems within size, weight, and power limitations.
  • The study facilitates higher cognitive functions and lower sensor-level operations in micro-robots.

Conclusions:

  • A bio-inspired minimal perception framework can overcome the limitations of tiny autonomous robots.
  • This approach enhances the autonomy and applicability of micro-robots in various domains.
  • Further research can optimize perception and navigation for robots operating under extreme resource constraints.