Google DeepMind's Gemini 4 Argon Enables Apollo 2 to Master Cornhole Shots
- Published
- Source
- HumanoidsDaily
Google DeepMind has showcased its Gemini 4 Argon technology, which enables the Apptronik Apollo 2 humanoid robot to learn and execute cornhole throws. In a demonstration on October 13, Apollo 2 successfully made seven consecutive shots after learning from a human video through a video-to-simulation workflow.
This development is significant as it highlights the potential of Gemini 4 Argon to streamline the process of robot training by reducing weeks of manual simulation modeling to just hours. The technology allows for iterative improvements based on real-time feedback from physical attempts, enhancing the robot's ability to adapt and refine its movements.
Looking ahead, the implications of this technology could revolutionize how robots learn complex tasks, making them more efficient in various applications. No further timeline was disclosed at the time of publication.
Original report
Gemini 4 Argon Takes Apollo From Human Video to Seven Straight Cornhole Shots
HumanoidsDaily · [email protected] (Humanoids Daily Staff)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
Apptronik
United States
Austin, Texas humanoid robotics company; builds the Apollo robot and runs pilots with Mercedes-Benz, GXO Logistics, and Jabil.
VLM Robotics
France
VLM Robotics, near Bordeaux, builds CNC-controlled robotic cells (GEMINI, SOLO, COMPAQT, CALYPSO) for WAAM, cold spray, milling and NDT of large parts.
Starcloud
United States
Starcloud (founded 2024, Redmond WA) launched Starcloud-1, the first satellite with an Nvidia H100 GPU, targeting gigawatt-scale orbital AI data centers.
TopXGun 拓攻机器人
China
Nanjing drone firm founded in 2015 that began with T1 flight controllers and now builds Fengpeng agricultural, Yunpeng cargo and C15 cleaning UAVs.
Songying Technology 松应科技
China
Songying Technology (ORCA3D) is a Shanghai physics-AI simulation software maker for embodied-AI robot training, backed by early-stage VC investors.
Noitom Robotics Technology (Shenzhen) Co., Ltd. 诺亦腾机器人
China
Shenzhen embodied-AI data company building motion-capture and teleoperation datasets for humanoid robots.
SQUAD
Ukraine
Ukrainian R&D and engineering company specializing in AI-powered camera systems and computer vision, from hardware design to edge AI deployment.
The Robot Learning Company
United States
YC X25 startup building open-source AI-native robot arms; TRLC-DK1 bimanual dev kit enables imitation learning and teleoperation for around USD 1,200.
Neofect US
United States
US-based digital rehabilitation company offering FDA-cleared robotic gloves and gamified therapy devices for stroke and neurological recovery.
Neurolutions
United States
US neurotech company founded 2007; developed IpsiHand, the first FDA-cleared non-invasive BCI for post-stroke upper limb motor rehabilitation.
Memories.ai
United States
US AI lab building a Large Visual Memory Model, a visual memory layer that lets AI, wearables and robots see, remember and recall video.
Maxinsights
United States
San Francisco vendor, founded 2024, of annotated egocentric video, hand/body mocap and tactile data for training robot VLA and world action models.
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.
