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AI and Robotics Applications #253

#tech #ai #coding

🤖 Robotics - AI Strategy for Robotics

At 80 years old, President Trump still manages to be better on AI strategy than any other DC politician. People make fun of his obsession with renaming things, but there's no better person to lead the U.S. through these times.

Key Points:

  • AI Strategy for Robotics: The tweet highlights the importance of having a clear AI strategy for robotics, which is crucial for the development and implementation of robotics technology.

  • Leadership in AI Strategy: The tweet suggests that President Trump's experience and leadership in AI strategy make him a suitable person to lead the U.S. through these times.

  • Renaming Things: The tweet jokingly mentions President Trump's obsession with renaming things, which is seen as a way to make a point about the importance of clear communication in AI strategy.

🔗 Resources:

🤖 Robotics - Robotics and Cars Share Common Ground

Who knew robots and cars had this in common? Both get wrapped in PPF to avoid scratches. This Unitree H2 costs over $60K. Which would you protect first: car or robot?

Key Points:

  • Common Ground between Robots and Cars: The tweet highlights the commonality between robots and cars, specifically the use of PPF to protect them from scratches.

  • PPF Protection: The tweet mentions the use of PPF (polyurethane film) to protect robots and cars from scratches, which is a common practice in the automotive industry.

  • Cost of Protection: The tweet mentions the high cost of the Unitree H2 robot, which is over $60K, and asks which would be protected first: the car or the robot.

🔗 Resources:

🤖 Robotics - Grounded Action Model (GAM)

VLAs? WAMs? Are language and video models the right foundations for robotics? Introducing Grounded Action Model (GAM): a new paradigm that builds robot foundation models on top of a pretrained 3D grounding model. Ground first. Then learn to act.

Key Points:

  • Grounded Action Model (GAM): The tweet introduces the Grounded Action Model (GAM), a new paradigm for robotics that builds on top of a pretrained 3D grounding model.

  • 3D Grounding Model: The tweet mentions the use of a pretrained 3D grounding model as the foundation for the GAM.

  • Action Learning: The tweet suggests that the GAM allows robots to learn to act after grounding, which is a key aspect of the paradigm.

🔗 Resources:

  • Original post
  • Original source
  • Twitter
  • Grounded Action Model (GAM)

🤖 Robotics - Safety Features in Robots

Ah yes, we forgot to explain this, but you cannot do that due to a safety feature we put in the robot to make it auto go into Damp mode when it tilted pass a certain point. The reason is you don't want the robot to fully stiffen when it hit the floor, it will damage the motor.

Key Points:

  • Safety Features in Robots: The tweet highlights the importance of safety features in robots, specifically the use of Damp mode to prevent damage to the motor.

  • Damp Mode: The tweet explains the use of Damp mode to prevent the robot from fully stiffening when it hits the floor, which could damage the motor.

  • Motor Damage: The tweet mentions the potential damage to the motor if the robot is not designed with safety features.

🔗 Resources:

  • Original post
  • Original source
  • Twitter
  • Safety Features in Robots

🤖 Robotics - Carving Finials

At York Minster a finial takes weeks to carve A grotesque takes months A five-foot figure took four months That is why new buildings do not order this work It's not because the carving is unloved But because it is still this slow, and therefore too expensive

Key Points:

  • Carving Finials: The tweet highlights the time-consuming process of carving finials, which can take weeks, months, or even years to complete.

  • Cost of Carving: The tweet mentions the high cost of carving finials, which is a major factor in why new buildings do not order this work.

  • Time-Consuming Process: The tweet emphasizes the slow and labor-intensive process of carving finials, which is a key aspect of the craft.

🔗 Resources:

🤖 Robotics - Robot Control Stack

we just oss'ed the robot control stack for achieving this - Meta Quest VR teleoperation - Single & dual-arm YAM/SO101 control - first class MolmoAct2 policy inference - Human-in-the-loop + DAgger data collection - data & rollout recording in @LeRobotHF v3 - based on the

Key Points:

  • Robot Control Stack: The tweet highlights the development of a robot control stack that enables various features such as Meta Quest VR teleoperation and single/dual-arm control.

  • Meta Quest VR Teleoperation: The tweet mentions the use of Meta Quest VR teleoperation as part of the robot control stack.

  • MolmoAct2 Policy Inference: The tweet highlights the use of MolmoAct2 policy inference as part of the robot control stack.

🔗 Resources:

🤖 Robotics - Last Computer on Earth

Es ist der 1. Januar 2036 und irgendwo läuft noch ein einziger Rechner. Er schreibt auf, wie die Menschheit in weniger als zehn Jahren ihre größte Chance verspielt hat. In der Hoffnung, dass irgendwann jemand vorbeikommt und es liest. Das ist eines von fünf Szenarien aus einer

Key Points:

  • Last Computer on Earth: The tweet describes a scenario where the last computer on earth is still running, writing about how humanity has lost its greatest chance in less than ten years.

  • Lost Chance: The tweet highlights the idea that humanity has lost its greatest chance, which is a key aspect of the scenario.

  • Last Computer: The tweet emphasizes the idea that the last computer is still running, writing about the lost chance.

🔗 Resources:

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Interactive version: blogs.drix10.com

Written by Drishtant Ghosh (Drix10), a technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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