Building a flexible design for today’s robotic applications
navigational landmarks. The platform’s inertial measurement capabilities are also applicable for maintaining cleaning patterns and estimating coverage areas. Similarly, autonomous lawn care products can use its navigational foundations to address outdoor challenges. Magnetic field sensing is useful in boundary wire detection and maintaining cutting patterns across sloped surfaces. Though commercial mowers typically operate at power levels higher than the platform, all the basic motor control strategies for load-adaptive speed regulation are directly applicable. Education and entertainment Interactive toy developers can use the STEVAL-ROBKIT1’s accessible hardware interfaces and wireless
connectivity options, such as BLE to create smartphone-controlled experiences where physical robot actions correlate with digital content. Similarly, designers can utilize the platform for educational projects. For example, students can observe relationships between sensor inputs and behavioral outputs to understand how software transforms measurements into purposeful actions. Audio interfaces support voice interaction experiments, while visual indicators can provide feedback during programming exercises.
that power autonomous robots. By removing integration obstacles, developers can now focus on their design rather than dealing with basic technical challenges. This approach speeds up both the learning and product development process. Moreover, the educational benefits go beyond basic component demos to provide practical experience that enables users to develop a solid understanding of how sensors, processors, and actuators work in tandem to create autonomous behaviors. Overall, this solution tackles the complexity that often slows robotic system development. To explore more on this Robotics Eval Platform, please see the video below and visit STEVAL-ROBKIT1.
For sound features, the STEVAL- ROBKIT1 includes both input and output using an onboard microphone and buzzer system. The microphone supports voice commands or sound-based interactions, while the buzzer delivers alerts and status signals. Visual indicators using LEDs or manual controls through buttons can also provide direct feedback and operation modes. For example, LEDs can indicate operational states, sensor status and overall system health, allowing developers to understand robot behavior during testing during development work or regular use. Key applications The STEVAL-ROBKIT1 platform allows developers to explore diverse robotic applications by providing basic building blocks that scale across consumer products, commercial systems, and specialized industrial equipment. Understanding how these core technologies adapt to specific use cases accelerates development from concept to implementation.
waypoint recognition and vision- based navigation. For motion tracking, a 6-axis IMU (Inertial Measurement Unit) monitors orientation and movement. This sensor feeds essential data for navigation accuracy and movement stability. Additionally, an integrated magnetometer adds directional awareness, improving the robot’s ability to maintain course and navigate reliably. STEVAL-ROBKIT1’s software comes with ready-to-use navigation algorithms for converting sensor readings into intelligent movement patterns. Developers can use these algorithms for boundary detection, obstacle navigation, route planning, etc. Machine Learning frameworks built into the system allows users to experiment with AI-driven behaviors or create their own algorithms based on integrated navigation and safety features.
The STEVAL-ROBKIT1 also offers Bluetooth Low Energy connectivity for mobile control and system monitoring via its BlueNRG-M2SA module. BLE allows robots to connect with mobile devices for remote operation and tracking, enabling control beyond the direct visual range. Users can use it to modify the robot’s operational parameters and track performance metrics using mobile interfaces, which improves the overall ease of use.
Expansion and customization options
A 40-pin expansion header matching Raspberry Pi GPIO standards makes it possible to add extra sensors, actuators and custom hardware without needing specialized interface boards. This standardized interface can allow robotics platforms to evolve to meet other needs while preserving core capabilities.
Conclusion
STEVAL-ROBKIT1 offers engineers, students, and hobbyists direct access to the integrated systems
Residential automation systems
Robotic vacuums are some of the most practical use cases for STEVAL-ROBKIT1’s sensing technologies. For example, ToF measurements can accurately calculate distances to walls and furniture, while vision processing identifies docking stations or
Figure 1: The STEVAL-ROBKIT1 from STMicroelectronics. Image source: STMicroelectronics
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