cs.RO · 2026-07-23 · No. 62

Robotics, 2026-07-23.

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

    Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement Learning

    Nicolas Kosanovic, Jordan Dowdy, Jean Chagas Vaz

    cs.RO · cs.HC · cs.LG

    Full-sized humanoid robot capabilities have grown exponentially in recent years, aiming towards general-purpose deployment in human environments. A popular control method used by manufacturers utilizes Virtual Reality for upper-body teleoperation and Reinforcement Learning for lower-body balance and locomotion control. As a result, a single remote operator can see, manipulate, and navigate about a real, distant physical environment. This...

    arxiv.org/abs/2607.20399 · PDF

  2. 02

    Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learning VLA Framework for Retail Humanoids

    Roger Sala Sisó, Tiago Silvério, Jakob Sand, Tran Nguyen Le

    cs.RO · cs.AI

    Closing the gap between benchmark performance and reliable real-world operation remains a central challenge for Vision-Language-Action (VLA) humanoid robots, which must handle execution errors, distribution shifts, and environmental variability. This paper presents DEED (Data-Efficient Post-Training and Experience-Driven Learning), a systems-level approach evaluated on a supermarket chip-restocking task using a Unitree G1-Edu humanoid robot...

    arxiv.org/abs/2607.20345 · PDF

  3. 03

    Courteous Anticipation: Improving Long-Lived Task Planning in Persistent Shared Environments

    Md Ridwan Hossain Talukder, Roshan Dhakal, Elizabeth Phillips, Gregory J. Stein

    cs.RO · cs.AI

    We consider a task planning scenario in which robots sharing a persistent environment are assigned tasks one at a time from a held-out sequence. Standard task planners, lacking foresight of future tasks and inconsiderate of others' constraints, solve each task in isolation, leaving terminal states that increase future cost for all, side effects that compound over lengthy task sequences. To reduce cost over the sequence, a robot must...

    arxiv.org/abs/2607.20289 · PDF

  4. 04

    Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction

    Seonsoo Kim, Seongil Hong, Jun-Gill Kang

    cs.RO · cs.LG

    We propose Diffusion ReRoll, a diffusion-based framework for robotic sequential prediction that enables revisable denoising over horizons. Existing diffusion-based sequence predictors typically perform a single monotonic denoising process. In contrast, Diffusion ReRoll selectively re-noises regions that have become locally stable while the remaining regions continue denoising, so the re-noised regions can be refined again using context from...

    arxiv.org/abs/2607.19919 · PDF

  5. 05

    ModPack: An Extensible Teleoperation Interface for Bimanual Mobile Manipulation

    Joshua Citron, Renee Zbizika, Zeyi Liu, Shuran Song

    cs.RO · cs.AI

    Existing teleoperation systems are often tailored to specific robot hardware and task domains, limiting their scalability and adaptability. We present ModPack, a modular and extensible teleoperation system designed to support diverse robot embodiments and task requirements within a unified framework. At the core of ModPack is a self-contained wearable "backpack" that integrates onboard computation, power, communication, and data storage....

    arxiv.org/abs/2607.19479 · PDF

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