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Evidence record 18672 · automatically gathered

A Neural Network Based Teleoperation for Remote Controlled Vehicles

Direct teleoperation of vehicles faces critical technical bottlenecks: communication latency and the operator's inability to physically perceive unmodeled environmental disturbances (e.g., aerodynamic drag, bank angles) coupled with highly nonlinear tire-road dynamics. To address these challenges, we propose a tailored unilateral teleoperation framework. The system integrates the Wave Variable (WV) approach to passively guarantee stability under stochastic delays, and an adaptive Radial Basis Fu

Record details

Published: 11 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Environment
Retrieved: 12 August 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (11 August 2026), “A Neural Network Based Teleoperation for Remote Controlled Vehicles,” evidence record 18672, https://ethics.ai/record/18672 (originally published by arXiv cs.HC).

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