Robotera's VPP2 Achieves 58.5% Zero-Shot Success on Real ALOHA Arms
- Published
- Source
- PanDaily.com
Robotera's open-source VPP2 has surpassed RoboDojo's dual-arm benchmark by achieving a 58.5% zero-shot success rate on Real ALOHA Arms. This success was made possible by training the model to predict video sequences before executing robot actions, demonstrating a significant advancement in robotic capabilities.
The achievement is noteworthy as it highlights the effectiveness of the VPP2 model in real-world applications, particularly in complex tasks involving dual-arm manipulation. By outperforming RoboDojo's previous success rate of 32.26%, Robotera sets a new standard for performance in robotic action models, which could influence future developments in the field.
Looking ahead, the implications of this success could lead to further enhancements in robotic training methodologies and applications. No further timeline was disclosed at the time of publication.
Original report
Robotera's VPP2 World Action Model Tops RoboDojo, Scores 58.5% Zero-Shot on Real ALOHA Arms
PanDaily.com · [email protected] (Pandaily)This briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
Robotera 北京星动纪元
Beijing embodied AI company founded 2023 and backed by Tsinghua University; builds the L7 and STAR1 humanoids, Q5 wheeled robot and XHAND1 dexterous hand.
Sunday Robotics
Mountain View AI robotics startup; builds Memo, a wheeled home humanoid trained on 10M chore episodes; $1.15B valuation after $165M Series B in 2026.
ARX 方舟无限
Beijing-based robotics company (est. 2023) making force-controlled robot arms—X5, L5, R5 series—for embodied AI research and imitation learning.
RILE Roboter- und Anlagentechnik GmbH
Bavarian factory automation integrator founded 1946; ~250 employees in Deggendorf; ISO 9001:2015; specializes in robot loading cells and CNC machining.
Jiying Technology 芨影科技
China-based AI company known for Jiying 2.0, a zero-shot generalizable physics foundation model launched in July 2026 for engineering simulation.
Light Origins 亮源新创
Shenzhen physical-AI startup founded in late 2024 by ex-OpenAI researcher Roger Jiang, building the Light-O1 embodied foundation model and a bipedal humanoid.
Toyota Research Institute (TRI)
Los Altos, California AI and robotics arm of Toyota, founded 2015 with a five-year, one-billion-dollar research commitment from Toyota.
Dax Robotics (Beijing) Co., Ltd. 大咖机器人(北京)有限公司
Dax Robotics (Beijing, founded 2025) sells the 170cm, 26-DOF X7 Pro humanoid and X7 EDU for retail, logistics, and pharmacy-sorting pilots.
AMI Labs
AMI Labs is a Paris AI startup founded by Yann LeCun in 2025, building JEPA-based world models trained on real-world sensor data, not language.
BAAI 北京智源人工智能研究院
Beijing-based non-profit AI research institute developing large foundation models and open-source embodied-AI systems for robotics.
Runway AI, Inc.
US AI research company building general world models (GWM-1) for video generation and a robot-learning platform for policy inference, sim evaluation and data.
NC AI Co., Ltd.
NCSOFT's AI affiliate building the VARCO generative-AI suite and a World Foundation Model for robot intelligence and physical-AI synthetic data.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.