Learn
Learn robot mathematics and control through experiments
Connect coordinate frames, kinematics and feedback to visible behavior in a small modeled system.
A ROLE. A TASK. A PATH FORWARD.
Find your way
through robotics.
Find a robotics learning or deployment path for your role: 3 stages, practical projects, readiness checks and linked directory resources.
Start at your current level. Move forward when you can demonstrate the milestone. These editorial paths describe project depth; they do not award a professional qualification.
Explore the 24 audience profiles
Absolute beginnerNew to robotics; needs vocabulary, a small first project and a way to learn without buying complex hardware.2 paths →University studentBuilding engineering foundations and a portfolio with reproducible simulations and practical experiments.7 paths →Teacher or lab instructorPlanning lessons, shared equipment and assessment for a mixed-experience class.4 paths →Career switcherMoving from another discipline into robotics and building evidence of applicable skills.5 paths →Graduate researcherTurning a research question into a controlled experiment, usable data and reproducible results.8 paths →Robot-learning researcherWorking on demonstrations, policies, evaluation, generalization and real-robot transfer.5 paths →Perception or data researcherWorking on sensing, geometry, datasets and evaluation under distribution changes.4 paths →Research lab managerSelecting shared platforms, organizing experiments and maintaining hardware and software continuity.3 paths →ROS or autonomy developerBuilding robotic applications from middleware, geometry, planning and navigation components.3 paths →Embedded or mechatronics engineerIntegrating sensor interfaces, real-time behavior, motors, power and mechanical constraints.3 paths →System integratorConnecting components and existing processes into a testable complete system.12 paths →Robotics product teamMoving from a repeatable prototype to a supported deployment and sustainable operations.4 paths →Manufacturing engineerImproving a defined production operation with repeatable workholding and measurable process results.6 paths →Quality engineerDefining acceptance, defects, traceability and false-positive/false-negative trade-offs.3 paths →Warehouse or logistics managerCoordinating material flow, handoffs, capacity, exceptions and people.3 paths →Plant or operations managerEvaluating investment, staffing, acceptance and long-term ownership of automation.5 paths →Inspection or maintenance engineerCollecting repeatable observations that lead to a documented maintenance decision.2 paths →Agricultural operatorEvaluating field tasks around crops, terrain, seasons, labor and operating constraints.1 path →Commercial service operatorIntroducing robots into a service workflow while retaining reliable human fallback.5 paths →Healthcare operations engineerEvaluating non-clinical logistics or supervised assistive research with institutional stakeholders.3 paths →Household buyerSelecting a useful consumer product and understanding routine maintenance, privacy and local support.5 paths →Parent or learning mentorChoosing age-appropriate robotics activities and planning device setup and adult involvement.3 paths →Maker or hobbyistBuilding, modifying and documenting personal robotics projects with an achievable scope.4 paths →Accessibility or care plannerExploring user needs and assistive workflows with the person affected and qualified stakeholders.4 paths →
Choose your role and goal
Graduate researcher: Turning a research question into a controlled experiment, usable data and reproducible results.
Scenario roadmaps
8 paths · 3 stages eachResearch
Run a reproducible manipulation experiment
Build a controlled arm task, establish a baseline and report failure modes before adding complexity.
Research
Collect demonstrations and train an imitation policy
Develop a traceable teleoperation, dataset, training and held-out evaluation workflow.
Research
Evaluate vision-language-action models responsibly
Compare embodied models under matched task, dataset and execution assumptions.
Research
Study locomotion and humanoid control
Move from a dynamics model to controlled learning experiments and supervised transfer planning.
Research
Build a perception dataset and evaluation study
Organize sensing, calibration, labels and held-out evaluation for a bounded robotics perception task.
Research
Plan a shared robotics research lab
Choose platforms around experiments, operating procedures and reproducible onboarding.
Field
Explore assistive robotics with users and specialists
Structure a user-centered research and feasibility project without treating simulation as clinical evidence.