FS-ExploreA is a modular indoor robot learning and research platform, consisting of a self balancing car module, a lithium battery module, a drive module, a core module, a sensing module, and a ranging patrol module. There is a linear CCD camera in front of the car, mainly used for tracking function; Ultrasonic distance sensors are used for the obstacle avoidance function of small cars; The top LED display screen will show the current posture information of the car, including linear information collected by the linear CCD camera, distance information collected by the ultrasonic ranging sensor, and so on. In terms of overall structure, self balancing intelligent vehicles are the main body, which can complete teaching and research related to self balancing intelligent vehicles.

1. Modularization

The Explorer intelligent vehicle consists of a mechanical connection module, a drive module, a core control module, and a power module. A complete Explorer intelligent vehicle can be assembled into a self balancing and two wheel differential motion platform.

2. Fun

By combining different modules, research on self balancing intelligent vehicles and two wheel differential intelligent vehicles can be completed. For example, by selecting the structure of self balancing intelligent vehicles, their self balancing principles, driving algorithms, etc. can be studied to maximize their fun.

3. Openness

The FS-ExploreA system software and hardware are both open architecture, and customers can expand and develop them according to their own needs. All code, systems, and algorithms are open source.

4. Wide adaptability range

A complete set of routine development, guidance materials, all sensors and development documents required for intelligent robots, suitable for use in primary and secondary schools, undergraduate or vocational education, and can also be used as a research platform for graduate students to conduct research projects.

5. Enrich teaching materials

Rich teaching experiment content, detailed experimental guidance book, and open source code. Users can acquire relevant development knowledge, enhance practical skills and professional abilities through learning about the device. All relevant experiments are accompanied by instructional videos, making it convenient for users to learn.

1、 Software Resources

The Explorer intelligent vehicle (FS-ExploreA) provides two wireless communication methods, Wi Fi and Bluetooth. The intelligent vehicle can communicate with the upper computer wirelessly to achieve real-time control

The balance car can achieve basic functions such as mobile joystick control, line tracking, automatic obstacle avoidance, automatic following, posture recognition, load capacity, and status waveform display. The code is open source, and loading some sensors can complete some comprehensive project cases.

Mobile joystick control andStatus waveform display

Automatic obstacle avoidance andPatrol tracking

Automatic Follow and Load Capacity

Slope driving andpose recognition

The track is 2m * 4m, made of multi-layer composite engineering leather PCV, with printed tracks and various logos on the surface. The track is divided into multiple areas, including the starting area, ramp area, curve area, obstacle area, parking area, and finish line. The ramp area is divided into uphill, straight, and downhill. There are guide lines laid on the ramp and bend areas, and thin iron sheets with a width of 15cm and varying lengths are buried below the guide lines in the ramp area and at the end of the bend area. There are multiple barriers at the obstacle area to complete the assessment of different projects.

Runway design drawings and physical images

Track scenario: After the self balancing car is ready on the track, it starts from the starting line and the linear CCD sensor transmits the collected linear information to the system, causing the self balancing car to move forward along the guide line; The self balancing vehicle always maintains an upright position during uphill driving, with thin iron plates of varying widths and lengths buried under the guide lines of uphill, straight, and downhill roads. After detecting the thin iron plates, the self balancing vehicle activates the sound and light alarm, emits sound and light indication information, and stores and displays the current number of thin iron plates in real time; After entering the curved area, the self balancing car can use the information transmitted by the linear CCD sensor to advance along the guide wire until the end. In addition, the car can be manually controlled to travel in the curved area through a joystick on a terminal device such as a mobile phone. At the same time, the terminal device will display the current status waveform. After successfully reaching the end of the guide wire, the thin iron sheet at the end will be detected and sound and light information will be emitted; The self balancing car smoothly passes through the obstacle area under the action of infrared obstacle avoidance sensors. By adding a photosensitive sensor to the self balancing car, it can enter the parking area and accurately reach the garage under the guidance of the light source.

Car climbing and tracking to catch up

Small car obstacle avoidance and smooth entry into the warehouse