Universities
Teaching labs
Give every cohort time on a real robot, with hardware small enough for a desk and open enough for students to inspect and program.
Research & Education
Open robot platforms for teaching and research
Documented hardware for robotics education, prototyping and Physical AI research — from first motion and kinematics to teleoperation, datasets and learned policies.
Who it is for
One platform, three kinds of lab
The hardware stays open and practical; the programme around it changes with the outcome you need.
R&D teams
Physical AI research
Collect demonstrations, develop perception and manipulation pipelines, and move policies from simulation onto physical hardware.
Innovation centres
Hands-on training
Run practical robotics, vision and ROS 2 programmes without reserving an industrial cell for every exercise.
Configurations and pricing
Choose a buying path before choosing every component
Kikobot research hardware is currently quoted rather than sold through online checkout. These three starting configurations make the scope—and the variables that set the price—explicit.
Individual platform
Start with one robot
Prototyping, a faculty project or a first robotics workstation.
Choose C1 for six-axis manipulation or D1 for delta kinematics, then confirm the controller, end-effector and software workflow required for the experiment.
How pricing works
Current unit price, taxes, delivery, included items and warranty are confirmed in a written quote before order.
Teaching lab
Configure for a cohort
Practical robotics, kinematics, control, vision and ROS 2 teaching.
Scope robot quantity, workstation sharing, tooling, spares, instructor onboarding and the exercises the lab needs to deliver.
How pricing works
The lab quote separates hardware, optional accessories, training or curriculum support, taxes and delivery.
Physical AI research
Scope the experiment stack
Teleoperation, dataset collection, perception, manipulation and learned-policy evaluation.
Define the robot arrangement, end-effectors, cameras, compute, control interfaces and measurements needed for reproducible trials.
How pricing works
The research-system quote identifies the supplied hardware and software scope separately from lab-provided equipment.
In action
See the products in motion
Watch real Kikobot hardware teach, coordinate and respond to operator input. These official demonstrations show C1, C2 and D1 in motion.
Learning path
Plan the lab around outcomes
This is the programme structure to confirm during lab planning. Specific lesson files and software releases should be listed in the proposal rather than assumed from a product claim.
01
Commission the workstation
Confirm the supplied configuration, install the stated software and complete first motion safely.
02
Teach robot fundamentals
Use joints, frames, kinematics, workspace and end-effector exercises on the selected platform.
03
Connect code and perception
Move into the confirmed Python or ROS 2 interface, camera calibration and application logic.
04
Run a measured project
Define an outcome, record results and compare repeatability, task success or policy performance across trials.
Learning and research
A path from motion to intelligence
Start with the mechanics and control stack, then move into perception, data and policies.
Robotics fundamentals
Kinematics, workspaces, joints and end effectors on physical hardware.
Robot programming
Move from guided operation to scripted motion and full control.
Vision systems
Detection, pose estimation and visual servoing at the robot.
Python & ROS 2
Use familiar tools and interfaces that transfer into larger systems.
Simulation
Develop and validate in simulation before running on the real platform.
Physical AI
Record demonstrations, train a policy and evaluate it in the real world.
Open research workflow
From demonstration to learned behaviour
Kikobot platforms are designed to sit inside a modern robotics workflow rather than replace it with a closed toolchain.
01
Demonstrate
Teleoperate the robot and capture the task as it is performed.
02
Build the dataset
Record motion, images and task state in a repeatable experiment.
03
Train and simulate
Develop the policy with the tools your lab already uses.
04
Deploy and measure
Run on the same physical platform and compare outcomes across trials.
LeRobotNVIDIA OmniverseIsaac SimPythonROS 2
Documentation
Build on an open foundation
Start with setup guidance, interfaces and worked examples, then adapt the platform to your own curriculum or experiment.
Read the documentation →Plan a lab
Tell us what you want learners to achieve
We will help map the hardware, compute and support to your cohort size and research goals.
Plan a lab or research systemLooking for products, pricing or availability?
Visit the separate shop →