The Apollo Humamoid Robot by Apptronik is a humanoid robot introduced by the company Apptronik. The video has 168,605 views and is 3 years old. No information is provided about the robot's features, capabilities, or performance.

The article compares the Apptronik Apollo and UBTECH Walker S2 humanoid robots, focusing on their business case in 2026. However, the article does not provide any specific information on the robots' performance, features, or pricing, making it difficult to draw a clear conclusion. The author also does not mention their ownership or the source of the robots, which could impact the credibility of the comparison.

The article discusses the training process of the humanoid robot Apollo 2, a collaboration between Apptronik and Google DeepMind. The training process involves teaching the robot to walk and perform tasks, with the goal of achieving human-like movement and dexterity. The article highlights the complexity of training a humanoid robot, citing the need for precise control and fine-tuning.

The article discusses the Apollo Humanoid Robot at the Mercedes factory. The robot is developed by Apptronik. The video shows the robot performing tasks at the factory.

Apptronik is showcasing its humanoid robot, Apollo 2, at Robot Park. The article does not provide information about the robot's capabilities, features, or any hands-on experience. It simply mentions that Apptronik is building the future with Apollo 2.

This article compares the Agility Robotics Digit and Apptronik Apollo humanoid robots in a 2026 commercial deployment test. The test highlights the strengths and weaknesses of each robot. The article does not provide specific details about the test, but it suggests that the Agility Robotics Digit performed well in certain areas.

The article compares the design of two humanoid robots, Apptronik Apollo and 1X NEO, focusing on scalability. The author notes that the 1X NEO has a more scalable design, with a more compact and efficient architecture.

This article compares the Apptronik Apollo and Unitree H2 humanoid robots. The author provides a general overview of the two robots' features, but does not provide a detailed analysis or hands-on experience with either robot. The author mentions that the Apptronik Apollo has a more advanced software platform, while the Unitree H2 has a more open-platform design. The author does not provide a clear recommendation or verdict, and does not discuss any specific use cases or issues with the robots.

The Apptronik Apollo 2.0 is a humanoid robot that promises to revolutionize the future of work. The article highlights its capabilities and potential uses, but lacks concrete evidence and specific details about its performance. The author's tone suggests a positive sentiment, but it's unclear if the robot is suitable for commercial or industrial use.

The article reviews the Apptronik Apollo, a $50,000 humanoid robot. The reviewer tests the robot and shares their experience. They find the robot to be impressive in its locomotion and dexterity, but have some issues with its battery life and payload capacity. The reviewer also mentions the robot's autonomy and safety features, but does not provide detailed information. The robot's software and price are also discussed, but the reviewer does not provide a clear recommendation. The article does not mention any specific use cases for the robot.

Google DeepMind's Gemini 4 Argon AI model demonstrates a new robotics training technique by watching video and transferring the resulting behavior to Apptronik's Apollo humanoid robot. The 'Video-to-Sim-to-Real' pipeline reduces manual simulation modeling time from weeks to hours. The model achieves an 87% score on the Embodied Reasoning benchmark.

Google DeepMind used Gemini 4 Argon to teach Apptronik's Apollo humanoid robot new skills from video. This technology enables the robot to learn from video data, expanding its capabilities.