From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation
Autonomous long-horizon sidewalk navigation is essential for micro-mobility applications such as robotic food delivery and assistive electronic wheelchairs. Unlike autonomous driving on the road, long-horizon sidewalk navigation requires precise maneuvering through unpredictable sidewalk terrains and pedestrians, with a lightweight perception stack as minimal as a single monocular RGB camera. While imitation learning (IL) from demonstrations offers a practical solution, the resulting autopilot p
Record details
Published: 10 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (10 June 2026), “From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation,” evidence record 1132, https://ethics.ai/record/1132 (originally published by arXiv).
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