Physical AI โก๏ธ
Robotics is moving beyond hardware
IROS 2026 showed why real world data and intelligent deployment matter
The challenge is making robots learn adapt and perform reliably outside controlled environments
That is where Physical AI gets real
@PrismaXai@MaxC16134
Robots Need Context To Make Better Decisions
Real environments are full of unexpected changes
Learning from these changes can improve robot responses
Quality robotics data turns moments into learning
@PrismaXai captures real world details as useful robotics data @MaxC16134
RoboCon brings robotics builders researchers and AI teams together to explore Physical AI
Live robot demos and talks on simulation RL onboard compute and real world deployment
@PrismaXai and Moonlake bring this to SF Tech Week
RoboCon Physical AI ๐ค
@moonlake@MaxC16134
PrismaX is building where robotics meets real experience
Every completed task leaves behind more than a result
It leaves behind context feedback and lessons that can improve future systems
The stronger the experience the smarter the learning process
@PrismaXai@MaxC16134
What if robots are not learning too slowly
What if we are teaching them too little
Every robot action contains more than movement
It contains lessons
The future belongs to systems that turn experience into intelligence
@PrismaXai@MaxC16134 ๐ฆพ
Experience becomes power
Robots need more than instructions. They need experience
PrismaX turns real world robot interactions into reviewed robotics data through teleoperation and validation
Collect real tasks @PrismaXai
Validate every episode
Build better data for Physical AI
@vivianrobotics#pX
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@PrismaX is partnering with Pennโs GRASP Lab to explore reinforcement learning for adaptive robot policies
PrismaX Robotics Data supports the research by bringing real world robotics data closer to academic innovation
PrismaX is proud to be a capstone partner of @Penn's @GRASPlab.
Together, we're exploring reinforcement learning for adaptive robot policies, with PrismaX Robotics Data supporting the research.
Bringing industry and academia closer to support the next generation of robotics researchers.
Data built for robots
Good robotics models need good demonstrations
@Prismax delivers reviewed real world episodes and can collect custom data for specific tasks
Less guessing
More usable data
Faster progress for Physical AI
Robotics Data is open in limited release.
Usable, diverse, proven demonstrations for the teams building physical AI. Teleoperation and egocentric episodes, reviewed to one standard, growing every month.
Explore the data and request access: https://t.co/c943i00OrD
IROS is days away. Here is the question @castorhat will answer on the Tech Talk Stage:
What makes good robotics data?
Tuesday, September 29, 3:15 PM.
@ieeeiros#IROS2026
Day one at IROS, and booth 1122 is open! Teams training VLAs, world models, and robotics foundation models are stopping by to see our demo and talk through what they're building.
#IROS2026@ieeeiros
PrismaX is proud to be a capstone partner of @Penn's @GRASPlab.
Together, we're exploring reinforcement learning for adaptive robot policies, with PrismaX Robotics Data supporting the research.
Bringing industry and academia closer to support the next generation of robotics researchers.
Day 2 at IROS. Here's the demo running at booth 1122.
Come see it live, and catch @castorhat on the Tech Talk Stage at 3:15 PM: what makes good robotics data?
#IROS2026@ieeeiros