PhD Research
PhD Research
Eleven Bioform
Eleven Bioform
Eleven Bioform
This robot works in low-visibility environments, mapping a safe traversable path when vision fails. Using artificial skin and memory-based touch, it navigates confined spaces in darkness or glare. Trials show reliable success and stable performance without relying on light.
This robot works in low-visibility environments, mapping a safe traversable path when vision fails. Using artificial skin and memory-based touch, it navigates confined spaces in darkness or glare. Trials show reliable success and stable performance without relying on light.
Overview
Overview
This research introduces Eleven, a quadrupedal robot with artificial skin designed to navigate complex, confined environments using touch rather than vision. By relying on tactile sensing and a memory-augmented policy, the system achieves stable performance across lighting conditions—including complete darkness—while maintaining mid-80% success rates. Though slightly slower than a camera-based baseline, this tactile-first approach offers robustness and independence from illumination or texture. The work highlights how biologically inspired design and memory-driven algorithms can expand robotic capability where vision alone fails.








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Overview
This research introduces Eleven, a quadrupedal robot with artificial skin designed to navigate complex, confined environments using touch rather than vision. By relying on tactile sensing and a memory-augmented policy, the system achieves stable performance across lighting conditions—including complete darkness—while maintaining mid-80% success rates. Though slightly slower than a camera-based baseline, this tactile-first approach offers robustness and independence from illumination or texture. The work highlights how biologically inspired design and memory-driven algorithms can expand robotic capability where vision alone fails.