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CoStream framework composes simple behaviors for complex robotic manipulation

Researchers have introduced CoStream, a novel framework designed to enable complex manipulation tasks in robotics by composing simpler, independent behaviors. This approach leverages foundation models and diverse sensing modalities to create a semantic behavior for spatial constraints, a predictive behavior for trajectory forecasting, and a reactive behavior for high-frequency corrections. CoStream orchestrates these components through a shared SE(3) interface, allowing them to combine into a single pose command for execution by a compliant controller. The framework has demonstrated success on eight real-world tasks, including precision assembly and object transfer, showing robust recovery from perturbations. AI

IMPACT Enables more sophisticated and generalizable robotic manipulation by composing foundational models and diverse sensing modalities.

RANK_REASON Academic paper detailing a new framework for robotic manipulation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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CoStream framework composes simple behaviors for complex robotic manipulation

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Haonan Chen, Yuxiang Ma, Stephen Tian, Xiaoshen Han, Wenlong Huang, Feiyang Wu, Yunzhu Li, Jiajun Wu, Edward H. Adelson, Yilun Du ·

    CoStream: Composing Simple Behaviors for Generalizable Complex Manipulation

    arXiv:2606.26423v1 Announce Type: cross Abstract: Long-horizon, contact-rich complex manipulation tasks, such as seating a GPU into a PCIe slot, demand both millimeter high precision and out-of-the-box generalization to new tasks. Existing paradigms struggle to satisfy both: clas…