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Technical Directions

Open artifacts Latest coverage

Robotics coverage relating to open artifacts.

23 selected reportsLast 30 days 23 recordsAll coverage 94 records

updated

Signal archive — Page 2

2026-10-21Wed21–23 records
  1. arXiv Robotics — research abstracts82

    ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning

    ZeroDex is a zero-shot framework for long-horizon dexterous manipulation that grounds language instructions into executable 3D task plans using calibrated multi-view RGB images. It extends vision-language model (VLM) grounding from 2D to 3D by fusing multi-view data, enabling contact points, placement targets, and tool-motion anchors. The system executes complex instructions by decomposing them into atomic tasks using a small library of primitives, and outperforms zero-shot visual-prompting and constraint-based baselines. It also demonstrates robustness to intermediate failures and generalization to novel objects and tool-use tasks.

2026-10-09Fri
  1. arXiv Robotics — research abstracts82

    OmniDex: Scaling Dexterous Hand Grasping to Diverse Cluttered Scenes

    This paper presents OmniDex, a benchmark and model for dexterous hand grasping in cluttered scenes. It addresses data scarcity through a scalable seed-and-filter strategy, generating over 2.6 million scenes and 0.4B grasp ground truths. The model combines Soft Winner-Takes-All learning with physical constraints to achieve robust grasping without post-optimization latency, showing strong generalization across diverse scenarios.

2026-10-05Mon
  1. Carnegie Mellon Robotics Institute — News68

    CMU Researchers Give Robots a Delicate Touch

    Carnegie Mellon University researchers have developed a robotic fingertip that enables robots to handle delicate tasks, such as picking up fragile or tiny objects like pills and potato chips. The fingertip, which attaches to the DeltaHands device, uses a strain gauge and contact microphone to measure pressure and capture microvibrations, allowing the robot to sense and manipulate objects with greater precision. The low-cost, 3D-printable design offers versatility for a range of tasks, from counting paper cups to identifying material compositions through vibrations. The work was presented at the 2026 Intelligent Robots and Systems Conference.

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