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About this paper
Aws Khalil, Jaerock Kwon
A study by the University of Michigan - Dearborn precisely characterized the nonlinear performance degradation of vision-based teleoperated lane keeping under network latency, observing a sharp collapse in stability between 150 ms and 225 ms of one-way perception delay. The research further demonstrated that control-channel delays compounded this instability.
Key insights
- Vision-based teleoperation systems exhibit a nonlinear degradation in stability, with a distinct critical transition region where performance collapses rapidly.
- Increasing network latency introduces oscillatory behavior and significant phase lag between visual perception and control actions, leading to overcorrection and instability.
- Delays in the control command channel compound the effects of perception delay, further reducing system stability and completion rates.
Summary by alphaXiv.
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