Jenny Tran
@jennyyy_JJJ
Joined April 2021
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That little apricot gave me more trouble than I expected ๐
Spent some time on @axisrobotics trying to guide a Wheeled Franka robot through a simple pick and place task.
One thing I kept noticing was how different the scene looked from each camera angle.
From one view, the gripper seemed perfectly aligned with the apricot. Switch to another, and suddenly I wasn't so sure anymore.
It made me realize something interesting about Physical AI.
Knowing where an object is doesn't necessarily mean knowing how to reach it.
The robot needs the right approach, the right position, and enough spatial awareness to interact with the object without missing it.
That's why I find browser-based teleoperation so interesting. Human control can provide examples of how these small physical decisions are made.
Still working on my robot driving skills, though.
The apricot is probably judging me. ๐๐ญ
#AxisRobotics# #PhysicalAI#
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I've been thinking about something lately ๐ญ
When we talk about Physical AI, we usually focus on the moment a robot successfully completes a task.
But there's another story behind that moment.
Someone had to design the task.
Someone had to collect the demonstrations.
And those recordings had to become usable training data.
That's what makes @axisrobotics interesting to me.
Axis is building infrastructure that connects task generation, human contributed simulation data, and data processing into a broader robot learning workflow.
The robot's final movement might be the most visible part.
But the work that makes learning possible happens long before that.
A successful robot action is what we see.
The data infrastructure behind it is what we rarely notice.
And honestly, I think that hidden part deserves more attention. ๐งก
#AxisRobotics# #PhysicalAI#
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