HIGAET Robotics Engineering
Learn kinematics, sensing, control systems, and ROS programming while assembling and programming mobile robots through HIGAET Practical Training hands-on engineering labs.
Duration
12 weeks · 5-7 hours/week
Level
Advanced
Delivery
Hybrid
Status
Open for enrollment
Why this technology matters.
Robotics engineering brings machines to life through kinematics, sensing, control, and programming, and it matters now because mobile robots handle inspection, delivery, and automation tasks everywhere from warehouses to labs. You will learn by assembling and programming real behaviors step by step with ROS.
Robots are used for mobile navigation, obstacle avoidance, manipulation, and sensor-driven control in structured and semi-structured spaces. They solve repeatable physical work well, but software alone does not fix weak mechanical builds, autonomy does not remove safety testing, and more sensors do not fix poor calibration or control tuning.
By the end you will be able to build a mobile robot assembly with motors, sensors, and controllers, ROS nodes for perception, navigation, and control, and an obstacle-avoidance and path-planning behavior with kinematic motion constraints.
Why this course exists
The jump from a line-following demo to a robot that navigates, avoids obstacles, and recovers from surprises is where most beginners stall. This course teaches the arc from assembly to kinematics to sensing to ROS control to tested navigation, so you can design, code, test, deploy, and operate robots that behave reliably.
Know exactly what you're signing up for.
Who is this for
Prerequisites
- No previous robotics experience required
- Basic Python familiarity helpful
- Comfortable with computers and electronics basics
Technologies & tools
Skills you'll gain
A 12 weeks arc, module by module.
- Module 01
Module 01 — Foundations: robotics systems, mathematics, and safety
- Module 02
Module 02 — Core: kinematics, dynamics, and coordinate frames
- Module 03
Module 03 — Core: sensors, actuators, and embedded controllers
- Module 04
Module 04 — Engineering: ROS architecture, topics, and packages
- Module 05
Module 05 — Engineering: localization, mapping, and navigation stacks
- Module 06
Module 06 — Engineering: computer vision for detection and tracking
- Module 07
Module 07 — Advanced: manipulation, grasping, and motion planning
- Module 08
Module 08 — Advanced: control theory, PID tuning, and simulation
- Module 09
Module 09 — Production: testing, maintenance, and field deployment
- Module 10
Module 10 — Capstone: build and demonstrate an autonomous mobile robotics system
Practical Training Flow
Learning → Guided Labs → Independent Practice → Industry Project → Capstone → Portfolio → Career Preparation. Practical hours are tracked alongside instructional hours and surfaced on the certificate.
Delivery as HIGAET Practical Training / Experiential Learning.
What you'll be able to do.
- Build mobile robot assemblies with motors, sensors, and controllers
- Design kinematic models and motion constraints for manipulators
- Develop ROS nodes for perception, navigation, and control
- Deploy obstacle avoidance and path-planning behaviors
- Integrate cameras, lidar, IMU, and actuator feedback
- Evaluate localization accuracy, stability, and safety limits
- Secure control interfaces and operational stop procedures
- Automate calibration, testing, and performance benchmarking
You will build.
Every project ships as HIGAET Practical Training / Experiential Learning — portfolio-ready work, not exercises.
- Project 01
Mobile robot assembly with motors and sensors
- Project 02
Kinematic model for manipulator motion
- Project 03
ROS nodes for perception and navigation
- Capstone
Mobile robot with obstacle avoidance and path planning
Speak the language first.
- Kinematics
- The math of how joints and wheels convert commands into positions and motion.
- Motion constraints
- Physical limits on joints, speed, and reach that safe robot motion must respect.
- Control systems
- Feedback loops that compare desired and actual motion and correct errors continuously.
- Robot sensing
- Using encoders, distance, and inertial sensors to measure what the robot is doing and what surrounds it.
- ROS nodes
- Small programs in the Robot Operating System that each handle one job like sensing or driving and exchange messages.
- Perception pipelines
- Processing sensor data to detect obstacles and features the robot must react to.
- Navigation stacks
- Combined mapping, localization, and planning layers that guide a mobile robot to its goal.
- Path planning
- Computing a collision-free route from the current position to a target.
- Obstacle avoidance
- Reactive steering and stopping behaviors that keep the robot clear of unexpected objects.
Fix, check, and go deeper.
Troubleshooting & common mistakes
Robot drifts or fails to drive straight
Calibrate motor speeds and encoder ticks, then retune the controller gains on a flat test run.
ROS nodes cannot communicate or topics are empty
Confirm node names, topic spellings, and message types, then inspect connections with ROS topic tools.
Localization jumps or loses track of position
Check sensor mounting and odometry quality, then retune filter parameters in a mapped test area.
Planner produces jerky or colliding paths
Adjust costmap inflation, speed limits, and goal tolerances, then test in simulation before hardware.
Obstacle avoidance reacts too late
Raise sensor publish rates, shorten control loop timing, and lower maximum speed until stops are reliable.
Before you move on, you should be able to
- Explain how kinematics, sensing, and control produce robot motion
- Build mobile robot assemblies with motors, sensors, and controllers
- Design kinematic models and motion constraints for manipulators
- Build ROS nodes for perception, navigation, and control
- Deploy obstacle avoidance and path-planning behaviors
- Evaluate robot runs for accuracy, stability, and safety margins
- Deploy tested behaviors from simulation to physical robots
Start your application.
Share a few details and a HIGAET advisor will reach out within one business day with next steps.
Common questions
Continue in Emerging Technology.
HIGAET Blockchain Engineering
Learn distributed ledgers, consensus, smart contracts, and token standards while building secure decentralized applications through HIGAET Practical Training applied projects.
View CourseHIGAET Web3 Engineering
Master wallets, decentralized identity, smart contract frontends, and NFT systems while engineering full-stack Web3 products through HIGAET Practical Training applied projects.
View CourseHIGAET IoT Engineering
Learn sensors, microcontrollers, MQTT messaging, and telemetry pipelines while deploying connected monitoring solutions through HIGAET Practical Training applied device projects.
View CourseReady to start HIGAET Robotics Engineering?
A 12 weeks course — Emerging Technology.