Empirical Automation
Robots That Learn.

Meet Caesar:
The Robot Worker of the Future

We make robots that are smart and affordable.

Using Machine Learning and Artificial Intelligence, we are teaching robots how to think and work.

Degrees of Freedom: 6 on arm, including gripper, plus neck
Reach: 920mm from base
Payload: 350g
Task Repeatability: +/- 0.5mm
Joint Speeds: maximum 300 deg/s
Electronics and Wiring: self-contained; two wire output from robot; 3 prong power cord, USB
Materials: aircraft grade aluminum, PLA and advanced polymers
Weight: 35 lbs
Height: 750mm
Sensors: Depth sensor neck sensor; upgrades available
End Effector: default 2 finger gripper included, 90mm opening
User Interfaces: C/C++, Python software libraries; desktop programs accessible over USB; tablet/mobile support
Physical Mounting: base has 4 square corner mount points, M8 hole size
Extensions and Upgrades: customizable end-effector; replaceable arm structure from base; modular joint configs
Customizations available upon request: reach, payload, speed.

Base Price: $4995.95 USD

(researchers and developers only - Contact Us )

Sales and Custom Development

Let's make it happen.


World Class Entrepreneurs, Engineers, and Data Scientists Make the Empirical Difference.
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James Schuback
Founder and CEO

Serial entrepreneur and inventor. Developed and sold IP from previous wearable tech startup; robotics and AI expert; built startups and raised capital across North America and Asia; Next Canada Entrepreneur; University of Toronto Engineering Science.

James Schuback
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Shenglong Gao
Chief Product Officer

Builds products used by millions. Serial entrepreneur and fundraiser; angel investor; user experience guru; Next Canada Entrepreneur; Cornell University Physics and University of Western Ontario Computer Science & Finance.

Shenglong Gao
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Oliver Gergelj
Chief Technical Officer

'The Rain Man' - nobody does data science and statistical inference better. Creator of financial analysis tools used religiously on Wall Street; wearable tech algorithm inventor; AI speaker and lecturer; University of Toronto Engineering Science.

Oliver Gergelj
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Ken Yang
Chief Financial Officer

Serial entrepreneur in hardware, AI, and blockchain technologies. Turns futuristic tech into startups, including EyeTap and Splashtones; renowned classical pianist and music tech enthusiast; University of Toronto Doctor of Law, Piano Performance, and Psychology.

Ken Yang

Get in touch

About Empirical Automation

Empirical Automation creates artificial intelligence solutions for automation and smart manufacturing.

Email: info@empiricalautomation.com