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Papers & Evaluations Latest coverage

Papers & Evaluations with links to supporting source material.

365 selected reportsLast 30 days 338 recordsAll coverage 2,429 records

updated

Signal archive — Page 19

2026-06-09Tue361–365 records
  1. Michigan Robotics — Research news72

    An earthworm-inspired robot to inspect complex pipelines

    University of Michigan researchers have developed SPPIRO, an untethered soft robot inspired by earthworms, capable of navigating complex pipelines with varying diameters and sharp turns. Equipped with Kresling origami actuators, onboard sensors, and a self-mapping system, SPPIRO can inspect pipelines at speeds up to 9.5 mm/s vertically and 6.5 mm/s horizontally, outperforming existing untethered soft in-pipe robots. The robot uses liquid-metal-based sensors and an onboard camera to detect defects in enclosed pipes, though challenges remain in maintaining stability and accuracy in certain conditions.

2026-05-14Thu
  1. Clearpath Robotics — Blog72

    Powered by Clearpath: Research Highlights from ICRA 2026

    Clearpath Robotics highlights research presented at ICRA 2026, showcasing how their robots are used in autonomous navigation, human-robot interaction, and agricultural applications. The papers demonstrate methods for far-field image-based mapping, social preference learning for crowd navigation, and shared control for UGVs in orchards.

2026-04-01Wed
  1. Sanctuary AI — Research and announcements72

    Sanctuary AI Demonstrates Zero-Shot In-Hand Manipulation on Hydraulic Hand

    Sanctuary AI has demonstrated zero-shot in-hand manipulation using their proprietary hydraulic hand, autonomously reorienting a lettered cube ten times without dropping it. This showcases successful simulation-to-reality transfer, overcoming challenges in simulating dexterous hands and highlighting the company's advanced robotic hardware and policy training capabilities.

2026-03-16Mon
  1. Universal Robots — Official announcements72

    Universal Robots and Scale AI Launch Imitation Learning System to Accelerate AI Model Training, Bridging the 'Lab-to-Factory' Gap

    Universal Robots and Scale AI have unveiled the UR AI Trainer, an imitation learning system designed to accelerate AI model training by capturing high-fidelity, synchronized robot and vision data. This system enables direct lab-to-factory AI training using UR robots with Direct Torque Control and force feedback, addressing challenges in data capture and hardware fragmentation. The collaboration also includes a large-scale industrial dataset and showcases real-world robotic foundation model performance.

2025-04-01Tue
  1. Sanctuary AI — Research and announcements68

    Sanctuary AI Leads the Industry in Controlling Advanced Hydraulic Hands Using Reinforcement Learning

    Sanctuary AI has demonstrated advanced manipulation skills using reinforcement learning to train dexterous policies for their high-performance hydraulic hands. The system successfully reorients objects in the real world under gravity and with added weight, showcasing the effectiveness of their approach. This represents the first successful transfer of such policies to five-fingered hands, highlighting the company's proprietary technology and hardware capabilities.

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