ROMar 15, 2018

Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing

arXiv:1803.05629v425 citations
Originality Incremental advance
AI Analysis

This work addresses the need for more flexible and robust robots in complex environments, though it is incremental as it builds on prior dynamic morphology research.

The paper tackles the problem of robot adaptation to dynamic environments by enabling a quadruped robot to actively adjust its leg lengths, showing that adaptable morphology leads to better performance in both lab and outdoor tests.

If robots are to become ubiquitous, they will need to be able to adapt to complex and dynamic environments. Robots that can adapt their bodies while deployed might be flexible and robust enough to meet this challenge. Previous work on dynamic robot morphology has focused on simulation, combining simple modules, or switching between locomotion modes. Here, we present an alternative approach: a self-reconfigurable morphology that allows a single four-legged robot to actively adapt the length of its legs to different environments. We report the design of our robot, as well as the results of a study that verifies the performance impact of self-reconfiguration. This study compares three different control and morphology pairs under different levels of servo supply voltage in the lab. We also performed preliminary tests in different uncontrolled outdoor environments to see if changes to the external environment supports our findings in the lab. Our results show better performance with an adaptable body, lending evidence to the value of self-reconfiguration for quadruped robots.

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