{
  "id": 16353,
  "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1885625",
  "title": "Combining exploration and imitation in contact-rich task learning on an articulated soft robot arm",
  "summary": "Learning from demonstration (LfD) has become a popular approach with the emergence of modern transformer-based algorithms. However, the performance of these policies is limited by the quality of the demonstrations. Combining imitation and exploration promises to train policies that perform better and are more reliable. However, this requires a robotic system that can explore safely without damaging itself or the environment, especially in contact-rich tasks during which the robot must exert forc",
  "authors": "Laurenz Elstner",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-05T00:00:00.000Z",
  "fetched_at": "2026-08-05T05:10:44.550Z",
  "source_slug": "x-frontiers-in-robotics-and-ai",
  "source_name": "Frontiers in Robotics and AI",
  "source_homepage": "https://www.frontiersin.org/journals/robotics-and-ai",
  "ethics_ai_record_url": "https://ethics.ai/record/16353",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1885625",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}