Google DeepMind Launches Gemini Robotics 2 for Enhanced Autonomy in Humanoid Robots
- Published
Google DeepMind has introduced Gemini Robotics 2, a suite of AI models aimed at enhancing the autonomy of humanoid and other robots through advanced whole-body control and dexterity. This system is currently showcased on Apptronik's Apollo 2 humanoid robot, which can execute full-body autonomous movements such as walking and manipulating objects while reasoning through complex tasks in real time.
The significance of this development lies in its ability to enable robots to move beyond pre-programmed tasks, adapting to dynamic environments. Gemini Robotics 2 serves as an 'intelligence layer' for robots, facilitating coordination from 'feet to fingertips' and improving dexterity with tasks like tying trash bags or unscrewing light bulbs. This advancement builds on the collaboration between Google DeepMind and Apptronik, which recently launched Robot Park to gather data for training future AI models.
Looking ahead, the introduction of multi-robot collaboration capabilities allows different robot types to work together on complex workflows. Gemini Robotics On-Device 2 is designed for industrial settings with limited cloud connectivity, enabling rapid adaptation to new hardware. No further timeline was disclosed at the time of publication.
Original report
Google DeepMind unveils Gemini Robotics 2 as Apptronik humanoid demonstrates whole-body AI
RoboticsAndAutomationNews.com · David EdwardsThis 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
RobotToday Weekly October 12 – 16, 2026 RobotToday · 1 week ago
-
10
automatica 2027 – Munich, Jun 22–25, 2027 RobotToday · 2 weeks ago
- 11
- 12
Related Suppliers
Google DeepMind
Alphabet's London-based AI lab, developer of the Gemini Robotics vision-language-action models and the open-source MuJoCo physics simulator.
Apptronik
Austin, Texas humanoid robotics company; builds the Apollo robot and runs pilots with Mercedes-Benz, GXO Logistics, and Jabil.
TRON K.K.
Tokyo humanoid integrator (est. 2024) bringing physical-AI robots, simulation training and Prevu3D factory digital twins to Japanese manufacturers.
Tangible Robots
San Francisco startup building Eggie, a wheeled humanoid with humanlike hands for household dexterity tasks, backed by Blume Ventures and Micelio.
Techsoft Robots 深圳市泰科智能机器人有限公司
Shenzhen manufacturer of humanoid and collaborative robot joint modules, servo drives, and dual-arm cobots for OEM and end-user customers.
Telefactor Robotics
US specialist in teleoperated robot vision, dexterous grippers, and control interfaces for bomb disposal and hazardous environment robots.
Field AI
AI autonomy software company enabling robots to navigate GPS-denied, unstructured environments using Field Foundation Models.
Hive Autonomy
Norwegian AI startup (est. 2020) retrofitting industrial machines like wheel loaders, forklifts, and excavators with autonomous AI technology.
MRK-Systeme GmbH
German human-robot collaboration specialist providing fenceless cobot workplace integration and safety engineering for automotive and industrial clients.
Robert Bosch GmbH
Bosch APAS cobot line: fenceless human-robot collaboration with 120-sensor capacitive skin, DGUV-certified for smart factory manufacturing.
Noble Machines
US developer of general-purpose humanoid robots that learn industrial skills in hours via language, demonstrations, and gestures.
Shenzhen Liangyuan Innovation Technology Co., Ltd. 深圳亮源新创科技有限公司
Shenzhen embodied-AI lab led by ex-OpenAI researcher Roger Jiang, building Physical AI foundation models Light-O1, Light REACT and LightNav-0
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.