I have come to view each activity on
@axisrobotics
as a distinct pathway. The snapshot taken prior to the TGE (Token Generation Event) provides greater clarity on the overall ecosystem. Points are derived from: 1. Activities performed on the Axis platform 2. Contributions via the Binance wallet partnership 3. Contributions via the BitRobot partnership 4. Other valid contributions to the Axis ecosystem All of these will be aggregated into a single reward pool ahead of the snapshot, scheduled for 21:00 on October 18th. This shifts my perspective on how to participate. While a high volume of tasks can be beneficial, Axis also places significant emphasis on the quality of the robot’s experience. During test runs, humans can intervene when a robot fails to grasp an object—adjusting its movements before returning control—which generates valuable trajectories for recovery, rather than just recording successful operations. The Axis Sim Dataset V1 is substantial in scale: • Over 50,000 human-controlled operations • 207 distinct tasks • More than 60,000 contextual variations The current campaign focuses on real-world activities. This dataset will transform those actions into reusable training data for future #PhysicalAI (Physical Artificial Intelligence). Could the quality of one’s contributions be the decisive factor for $AXIS rewards? Picture advanced humanoid robots, holographic imaging systems, and digital orchestration layers—all integrated into the surrounding environment, with the project’s logo woven into the scene. The artwork should exude intelligence and creativity, featuring a cinematic style, realistic details, and a compelling atmosphere.
@KaitoAI
I have come to view each activity on @axisrobotics as a distinct pathway. The snapshot taken prior to the TGE (Token Generation Event) provides greater clarity on the overall ecosystem.
Points are derived from:
1. Activities performed on the Axis platform
2. Contributions via the Binance wallet partnership
3. Contributions via the BitRobot partnership
4. Other valid contributions to the Axis ecosystem
All of these will be aggregated into a single reward pool ahead of the snapshot, scheduled for 21:00 on October 18th.
This shifts my perspective on how to participate.
While a high volume of tasks can be beneficial, Axis also places significant emphasis on the quality of the robot’s experience. During test runs, humans can intervene when a robot fails to grasp an object—adjusting its movements before returning control—which generates valuable trajectories for recovery, rather than just recording successful operations.
The Axis Sim Dataset V1 is substantial in scale:
• Over 50,000 human-controlled operations
• 207 distinct tasks
• More than 60,000 contextual variations
The current campaign focuses on real-world activities. This dataset will transform those actions into reusable training data for future #PhysicalAI (Physical Artificial Intelligence).
Could the quality of one’s contributions be the decisive factor for $AXIS rewards? Picture advanced humanoid robots, holographic imaging systems, and digital orchestration layers—all integrated into the surrounding environment, with the project’s logo woven into the scene. The artwork should exude intelligence and creativity, featuring a cinematic style, realistic details, and a compelling atmosphere.
@KaitoAI