Omnidirectional Mobile Manipulator Robot Kit

Let’s be honest—we’re here to sell you a mobile manipulator robot, and you’re here because watching robots on YouTube isn’t cutting it anymore. This omnidirectional robotics platform pairs agile movement with a servo-driven arm, runs on Raspberry Pi 5 or NVIDIA Jetson, and plugs straight into the LeRobot framework. Educational robot kit, research platform, data-gobbling machine—pick your excuse.

Why You Want It

This thing moves like it knows it’s being watched. Omnidirectional drive lets it slide, rotate, and sneak through tight lab spaces without the three-point turn of shame. The Feetech STS3215 servos deliver confident, repeatable grasping for teleoperation and experiments that don’t end in floppy-arm disappointment. Will it replace a £100k lab robot? No. Will it teach you why those cost £100k? Absolutely.

Specifications

• Drive System: Omnidirectional mobility (because hallways are narrow and patience is finite)
• Controller Support: Raspberry Pi 5 / NVIDIA Jetson (AI dreams sold separately)
• Power Supply: 12V battery (portable freedom, responsibly limited)
• Communication: UART (old-school reliable, like it should be)
• Operating Temp: 0℃–40℃ (labs, classrooms, not volcanoes)
• Weight: 1.7 kg (liftable without a risk assessment)
• Dimensions: 300 × 300 × 230 mm (desk-friendly, spouse-questionable)

Servo Motor Details

• Model: Feetech STS3215
• Rated Voltage: 12V
• Rated Torque: 10 kg·cm (strong enough for learning, not home demolition)
• Rated Current: 900 mA
• Gear Ratio: 1/345 (slow, steady, and predictable)
• Horn Type: 25T / OD 5.9 mm

What’s in the Box*

• 1× Omnidirectional mobile robot base
• 1× Servo-driven manipulator arm (STS3215 servos)
• 1× Power and communication harness set

Disclaimer

Modules and accessories may vary slightly, but the core robot platform is always exactly what your experiments depend on.

Still Here?

If you’ve read this far, you’re clearly shopping for an open-source omnidirectional mobile manipulator robot for education and research. Buy it, log the data, train the model, and tell yourself this was cheaper than another unused textbook.