cs.RO · 2026-08-31 · No. 101

Robotics, 2026-08-31.

5 new papers in cs.RO. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

5 entries
  1. 01

    Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning

    Nan Wang, Mohit Yadav, Jonathan Wulff, Aidan Rosenbaum, Kezhou Chen, Yuvan Sharma, Xu Dong, Yiwei Tao

    cs.RO · cs.AI · cs.LG

    Tendon-driven hands are anthropomorphic, and moving the actuators off the joints is what makes a hand of this capability affordable to build. Two effects produce that saving. Routing force through a cable removes the requirement that a motor fit inside the joint it drives, so smaller and cheaper motors suffice, and one motor can drive several joints through a single cable, so fewer motors are needed. They are also harder to learn on than a...

    arxiv.org/abs/2608.28578 · PDF

  2. 02

    PanelShield: Verifiable Closed-Loop Safe Planning for Robotic Industrial Panel Operation

    Guipeng Xin, Jiahe Xu, Chenhui Wan, Jie Liu, Youmin Hu, Zhongxu Hu

    cs.RO · cs.AI

    Industrial panel operation is knowledge-intensive and safety-critical. Beyond control recognition and action generation, execution must satisfy constraints in operation manuals and safety regulations. While foundation-model-based planners show strong semantic capability, they typically lack computable, localizable, and reproducible mechanisms for violation detection and repair. To address this, we propose PanelShield, a verifiable closed-loop...

    arxiv.org/abs/2608.28305 · PDF

  3. 03

    MaCoPlanner: LLM-Assisted Manual-Compiled Task Planning with Proactive Safety Verification for Robotic Industrial Panel Operation

    Guipeng Xin, Jiahe Xua, Mohammad Deghat, Chenhui Wan, Jie Liu, Youmin Hu, Zhongxu Hu

    cs.RO · cs.AI

    Robotic industrial panel operation requires not only accurate control localization but also compliance with operating procedures, safety rules, and device-state constraints distributed across heterogeneous manuals. This study presents MaCoPlanner, a task-planning framework built on knowledge compiled from equipment manuals that converts equipment manuals into a typed intermediate representation, retrieves task- and state-relevant evidence,...

    arxiv.org/abs/2608.28300 · PDF

  4. 04

    Spatial-Semantic Reasoning using Large Language Models for Efficient UAV Search Operations

    Marin Maletic, Marijana Peti, Tamara Petrovic, Stjepan Bogdan

    cs.RO · cs.AI

    We present a real-time semantic navigation framework for Unmanned Aerial Vehicles (UAVs) focused on improving time efficiency in the Object Goal Navigation (ObjectNav) task. Central to our approach is a Large Language Model (LLM) that interprets user-provided natural language instructions and performs semantic reasoning over detected objects and spatial context to prioritize high-probability search regions. The system combines real-time...

    arxiv.org/abs/2608.28270 · PDF

  5. 05

    Training-free Suction Grasp Detection for Deformed Aseptic Cartons Using Vision-Language Models and Geometric Surface Scoring

    Marin Maletic, Goran Vasiljevic

    cs.RO · cs.AI

    Robotic sorting of recyclable waste is challenging due to the deformable and geometrically inconsistent nature of target objects. We present a training-free suction grasping system for sorting deformed aseptic beverage cartons, decoupling target identification from grasp-point selection. An open-vocabulary vision-language model detects cartons from a text prompt, SAM2 refines each detection into an instance mask, and a geometric scoring...

    arxiv.org/abs/2608.28246 · PDF

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