Learn Robotics Sphere | Official Participation, Real Robot Scoring, Safety & Competition Framework

Version 1.0 | 31 October 2026

Organizer: NEW PROFERM SRL, Romania

These regulations explain the current educational activities and Real Robot scoring system available through Learn Robotics Sphere. They also establish the general framework for future Learn to Earn competitions.

Future competition formats, additional scoring criteria and awards will be announced separately when their technical, organizational and legal conditions have been confirmed.

ARTICLE 1 – PURPOSE AND PRINCIPLES

Learn to Earn is an educational robotics initiative developed through Learn Robotics Sphere and operated by NEW PROFERM SRL.

The program combines free robotics education, simulator training, qualification, remote control of physical robotic arms, automated scoring and performance comparison.

Its purpose is to develop technical knowledge, precision, coordination, problem-solving skills, responsible robot operation and fair competition.

Learn to Earn encourages participants to progress through learning, practical experience and demonstrated performance.

ARTICLE 2 – PARTICIPATION AND ELIGIBILITY

Learn Robotics Sphere is designed for high school students, university students and other eligible learners interested in robotics, automation and emerging technologies.

Participants must register through the platform, use their own accounts and provide accurate information.

Access to specific activities depends on the qualification, booking and safety requirements applicable to those activities.

Participants under the age of majority must comply with applicable consent and safeguarding requirements.

Future official competitions may introduce additional eligibility criteria, including age categories, geographical representation and identity verification.

These requirements will be announced before the relevant competition begins.

ARTICLE 3 – FREE LEARNING AND SIMULATOR QUALIFICATION

Educational learning content and simulator training are available free of charge.

The qualification pathway consists of five simulator missions designed to develop the skills required for physical robot operation.

Participants must achieve a score of at least 80/100 in Mission 5 to qualify for Real Robot access, subject to the platform’s applicable requirements.

Simulator results are recorded separately from physical robot performance.

Qualification unlocks the next stage of the learning pathway but does not automatically guarantee a particular reservation or entry into an official competition.

ARTICLE 4 – REAL ROBOT ACCESS AND BOOKING

Qualified participants may reserve available sessions to remotely operate a physical SO-ARM101 robotic arm.

The current standard Real Robot session lasts 10 minutes.

Sessions are offered under the booking conditions and prices displayed by the platform, currently EUR 1 per standard session.

Eligible participants may also use valid institutional access codes.

Reservations are confirmed only when successfully recorded by the booking system.

Participants may access the robot only during their authorized session and must not share access with other users.

Educational bookings are separate from future official competition attempts.

ARTICLE 5 – REAL ROBOT TASK

The current Real Robot task involves moving physical objects between two designated workspace areas:

• PICK AREA – Zone A
• PLACE AREA – Zone B

Participants control the robot through the available teleoperation interface while observing the live camera views.

Object transfers may be performed in either direction, from PICK to PLACE or from PLACE to PICK.

A transfer is considered valid when it is recognized and confirmed by the active scoring system.

Participants must operate the robot carefully, keep objects within the permitted workspace and avoid unnecessary collisions.

ARTICLE 6 – CURRENT SCORING SYSTEM

The current Real Robot scoring system awards:

200 POINTS FOR EACH VALID TRANSFER

A valid transfer must be recognized and recorded by the platform’s scoring system.

Transfers may be scored in either direction between the designated workspace areas.

The total session score is calculated from the valid transfers recorded during that session.

The current system does not separately award verified points for geometric precision, completion speed, collision avoidance or error correction.

Additional scoring criteria may be introduced in future official competition formats following technical testing and publication of the applicable rules.

Restrictions on repeated scoring of the same physical object will apply only when the necessary object identification and tracking functionality has been implemented and officially announced.

ARTICLE 7 – AUTOMATED SCORING AND RESULT VALIDATION

Real Robot scoring is performed using camera-based detection and the platform’s automated scoring software.

The system monitors the relevant workspace areas and identifies recognized object transfers.

Validated scores are associated with the corresponding session and may be displayed in the participant’s Real Robot Performance section and the platform leaderboard.

Only successfully recorded and validated scoring events contribute to the recorded result.

The organizer may review results affected by technical errors, duplicated events, system failures or suspected manipulation.

ARTICLE 8 – ROBOT OPERATION AND SAFETY

Participants must follow all published safety instructions before and during robot operation.

The following rules apply:

1. Operate the robot only through authorized platform controls.
2. Observe the available camera views and the designated workspace.
3. Use gradual and controlled movements.
4. Avoid collisions with equipment, obstacles and workspace boundaries.
5. Do not intentionally damage, overload or misuse the robotic arm.
6. Use the available STOP control whenever necessary.
7. Do not attempt to bypass safety restrictions.
8. Do not interfere with another participant’s session.

The organizer may interrupt or terminate a session when continued operation creates a safety or equipment risk.

ARTICLE 9 – FAIR PLAY AND INTEGRITY

Participants must act fairly and respect the integrity of the platform.

The following actions are prohibited:

• Using another participant’s account or qualification.
• Manipulating scoring data, reservations or leaderboard results.
• Interfering with the scoring system or other participants’ sessions.
• Circumventing robot safety mechanisms.
• Intentionally damaging or obstructing the workspace.
• Using unauthorized methods to obtain competitive advantages.

Confirmed violations may result in score invalidation, temporary suspension or exclusion, subject to the applicable rules and review procedures.

ARTICLE 10 – TECHNICAL INTERRUPTIONS

Remote robot operation depends on the availability of the robot, cameras, internet connection, booking service and scoring system.

If a technical malfunction prevents a participant from completing a session, the participant should report the issue through the available support channel.

The organizer will review the relevant technical information and determine an appropriate remedy under the applicable service conditions.

Technical interruptions do not automatically guarantee a particular score, ranking or competition result.

ARTICLE 11 – PERFORMANCE RESULTS AND LEADERBOARD

Learn Robotics Sphere records participant performance through its Real Robot scoring system.

Where supported, participants may review their results in the Real Robot Performance section and compare their performance through the leaderboard.

The displayed ranking reflects the scoring and ranking methodology currently supported by the platform.

Educational session results do not automatically constitute official championship results.

Future competitions may introduce separate rankings for high school students, university students, geographical regions and competition disciplines.

Official rankings will be governed by separately published competition rules.

ARTICLE 12 – FIVE PROPOSED COMPETITION DISCIPLINES

The future Learn to Earn competition framework includes five proposed robotics disciplines.

Discipline A – Intelligent Sorting

Participants identify and transfer colored objects to their corresponding target locations.

Discipline B – Precision Placement

Participants position objects in designated locations, with placement accuracy assessed through validated measurements.

Discipline C – Modular Manipulation

Participants manipulate and position lightweight modular components according to the assigned task.

Discipline D – Obstacle Navigation

Participants transfer objects while avoiding designated obstacles and restricted areas.

Discipline E – Integrated Mission

Participants complete a combined task involving sorting, precision placement, modular manipulation and obstacle avoidance.

These disciplines form part of the future competition framework.

They are not all currently available as separately validated physical robot competitions.

Their final technical specifications, duration, scoring methods and participation conditions will be announced following testing and approval.

ARTICLE 13 – FUTURE BIDIRECTIONAL COMPETITION SYSTEM

Learn to Earn aims to develop robotic stations capable of operating continuously with minimal manual intervention.

The proposed competition system will allow object transfers between zones A and B in both directions.

Participants may begin from an automatically verified and permitted initial configuration, including a configuration resulting from a previous session.

Before this system is introduced into official competitions, the organizer must validate:

• Reliable detection of individual objects and their positions.
• Equivalent difficulty across permitted starting configurations.
• Accurate recognition of valid transfers.
• Prevention of repeated scoring where required.
• Reliable handling of incomplete tasks and technical interruptions.
• Physical safeguards against lost or inaccessible objects.

Continuous unattended operation and equivalent competitive conditions cannot be guaranteed until these requirements have been successfully validated.

ARTICLE 14 – OFFICIAL COMPETITION FORMAT

Future official Learn to Earn competitions may use standardized tasks, dedicated competition sessions, verified scoring and defined participation limits.

A five-minute official attempt is proposed as a future competition format, separate from the current 10-minute educational booking.

The number of official attempts, qualification requirements, competition calendar, scoring methodology and advancement criteria will be published before official participation opens.

Additional educational bookings will not, by themselves, provide preferential treatment or a guaranteed advantage in official competitions.

ARTICLE 15 – AWARDS AND EXCELLENCE SCHOLARSHIPS

Learn to Earn aims to recognize and reward outstanding performance, dedication and technical skills through future competitions.

The program plans to offer awards and excellence scholarships at different competition levels:

• Regional or county level
• National level
• Continental level
• World level

Awards will be based on verified performance, fair competition and clearly defined eligibility criteria.

The value, number and conditions of awards and scholarships will be announced separately before the relevant official competition stages, subject to confirmed funding and applicable legal requirements.

Purchasing additional educational sessions will not guarantee awards or provide preferential treatment in official competitions.

The long-term objective is to create an international competition where talented participants can demonstrate their robotics skills, compete fairly and earn recognition for their achievements.

ARTICLE 16 – OFFICIAL RESULTS AND APPEALS

Future official competitions will require transparent and verifiable results.

Where technically available and legally appropriate, competition records may include session identifiers, scoring events, timestamps, technical interruptions and validated results.

The organizer will publish the applicable result review and appeal procedures before official championship participation begins.

Educational scores may be reviewed when technical anomalies or integrity concerns are identified.

ARTICLE 17 – PERSONAL DATA AND PARTICIPANT PROTECTION

Personal information is processed in accordance with the platform’s Privacy Policy and applicable data protection legislation.

Public rankings may display participant names or approved display names, scores and ranking positions according to the applicable privacy settings and competition rules.

Additional safeguards and consent requirements apply to minors.

Personal data will not be made public solely because a participant has completed simulator training or reserved a robot session.

ARTICLE 18 – CHANGES TO THE RULES

Learn Robotics Sphere may update its educational activities, scoring technology, booking procedures and competition framework.

Material changes affecting participants will be communicated through the platform.

Changes to official competition scoring or eligibility will be published in advance of the affected competition stage, except where immediate action is necessary for safety, security or legal compliance.

ARTICLE 19 – ORGANIZER AND APPLICABLE POLICIES

Learn to Earn is developed through Learn Robotics Sphere and operated by NEW PROFERM SRL, Romania.

Participation is also subject to the platform’s applicable Terms & Conditions, Privacy Policy, safety instructions and booking conditions.

Future official championships and scholarship programs may require additional published regulations.

LEARN ROBOTICS SPHERE

Learn. Practice. Qualify. Control a Real Robot. Improve. Compete.

Competition Rules – Version 1.0