Publication
arXiv
Stage
Preprint
What we read
Summary of the paper
Authors
Guanhua Ji, Tianyu Li, Dayoon Suh, Yuqian Zhang, Boyan Zhang, Nadia Figueroa
Universities and research institutions
Not yet supplied in verified metadata; the Brief does not guess.

What they did and found

Researchers used a video-and-audio generator to create force-aware robot trajectories. They mapped audio loudness to bounded force profiles and executed them with a force regulator, demonstrating improved success over purely kinematic replay on several contact tasks.

Why it matters

Shows that adding audio-based force cues can help robots handle contact better without relying on force sensors in every demonstration.

The approach builds end-to-end control from generated media, letting a robot guess when and how hard to push during a task. By damping abrupt force starts and using closed-loop regulation, it reduces failures tied to sudden contacts.

In practice, this means you can try force-aware planning with existing video-to-action pipelines, recognizing that sound can hint at optimal contact intensity and timing, even without direct force data from demonstrations.

Read the paper PDF ↗

Original sources · 1
  1. Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation ↗arXiv · 2026-09-16

Check the original paper for its authors, methods, version and access terms.

What remains uncertain

Audio cues may include unrelated sounds; the force profile is a proxy, not a guarantee of optimal real-world force.