CVPR 2026 Past ML systemsRobotics

ScaleBot: The First Workshop on Scalable Robot Learning Systems

ScaleBot @ CVPR 2026

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OpenReview
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Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (16)

Fetched from OpenReview (v2) on 2026-06-10.

  1. CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents

    Haebin Seong, Sungmin Kim, Yongjun Cho, Myunchul Joe, Geunwoo Kim, Yu Been Park, Sunhoo Kim, Yoonshik Kim, Suhwan Choi, Jaeyoon Jung, Jiyong Youn, Jin Myung Kwak, Sunghee Ahn, Jaemin Lee, Younggil Do, Seungyeop Yi, Woojin Cheong, Minhyeok Oh, Minchan Kim, Seongjae Kang, Samwoo Seong, Youngjae Yu, Yunsung Lee · PDF
  2. Decoupling Action Position from Inference Frequency in Stale-Observation VLA Deployment

    Changmook Oh, Dahye Hong · PDF
  3. Do You Need Proprioceptive States in Visuomotor Policies?

    Juntu Zhao, Wenbo Lu, Yufeng Liu, Di Zhang, Hang Yu, Yushen Liang, Tianluo Zhang, Yifeng Cao, Yingdong Hu, Shenji Wan, Junliang Guo, Dequan Wang, Yang Gao · PDF
  4. G-RoLA: A Generative World Model Paradigm for Robotic Skill Acquisition from Any Image

    Zhiguo Tao, Yina Jian · PDF
  5. Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations

    Ruiqian Nai, Boyuan Zheng, Junming Zhao, Haodong Zhu, Sicong Dai, Zunhao Chen, Yihang Hu, Yingdong Hu, Tong Zhang, Chuan Wen, Yang Gao · PDF
  6. Multi-Modal Manipulation via Multi-Modal Policy Consensus

    Haonan Chen, Jiaming Xu, Hongyu Chen, Kaiwen Hong, Binghao Huang, Chaoqi Liu, Jiayuan Mao, Yunzhu Li, Yilun Du, Katherine Rose Driggs-Campbell · PDF
  7. Reward-Zero: Language Embedding Driven Implicit Reward Mechanisms for Reinforcement Learning

    Heng Zhang, Haddy Alchaer, Arash Ajoudani, Yu She · PDF
  8. RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Models

    Hongzhi Zang, Mingjie Wei, Si Xu, Yongji Wu, Zhen Guo, Yuanqing Wang, Hao Lin, Peihong Wang, Liangzhi Shi, Yuqing Xie, Zhexuan Xu, Zhihao Liu, Kang Chen, Wenhao Tang, Quanlu Zhang, Weinan Zhang, Chao Yu, Yu Wang · PDF
  9. RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains

    Yi Ru Wang, Carter Ung, Evan Gubarev, Christopher Tan, Siddhartha Srinivasa, Dieter Fox · PDF
  10. RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation

    Feng Jiang, Yang Chen, Jingkai Xu, Yuchen Liu, Haifeng Wang, Zhenhao Shen, Jasper Lu, Shu Chen, Shengze Huang, Yuanfei Wang, Ruihai Wu · PDF
  11. Scalable Vision-Language-Action Models for General-Purpose Robotics

    Xiaonan Song · PDF
  12. Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment

    Jacky Kwok, Xilun Zhang, Mengdi Xu, Yuejiang Liu, Azalia Mirhoseini, Chelsea Finn, Marco Pavone · PDF
  13. SPARK: Simple Post-training for Adapting pRetrained Knowledge to Robot Control

    Taekyung Kim, Jeongeun Park, Byeongho Heo, Sungjoon Choi, Sangdoo Yun, Dongyoon Han · PDF
  14. ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation

    Xialin He, Sirui Xu, Xinyao Li, Runpei Dong, Liuyu Bian, Yu-Xiong Wang, Liangyan Gui · PDF
  15. VLA-Arena: Benchmarking Vision-Language-Action Models via Structured Task Design

    Borong Zhang, Jiahao Li, Jiachen Shen, Yishuai Cai, Yuhao Zhang, Jiaming Ji, Yaodong Yang · PDF
  16. When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering

    Jessie Yuan, Yilin Wu, Andrea Bajcsy · PDF