{
  "id": 18672,
  "url": "https://arxiv.org/abs/2608.10367v1",
  "title": "A Neural Network Based Teleoperation for Remote Controlled Vehicles",
  "summary": "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",
  "authors": "Ning Ding, Azim Eskandarian",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T01:51:08.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18672",
  "original_url": "https://arxiv.org/abs/2608.10367v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}