Performance

Unafraid of terrain
and high temperatures

Apollo’s R&D team pioneered a reinforcement learning algorithm based on feature hyperplane theory,
enabling rapid and robust learning for legged robots.
The team also introduced entropy stability and quantitative robustness criteria for legged robots,
significantly reducing the sim-to-real gap and providing theoretical support for reliable deployment of motion control algorithms.
Combined with self-developed integrated joint motors and low-power main control modules,
Apollo achieves highly synergistic hardware and software integration.

Load Capacity

Superior Payload
Extreme Mobility

Apollo features ultra-high-torque joint motors (peak torque >360 Nm),
delivering extreme performance and enabling greater possibilities and flexibility for industrial applications.
Its proprietary high-speed motion control algorithm for heavy-duty quadrupeds (60 kg self-weight) achieves a peak speed of 8 m/s,
a feat recognized by the Guinness World Records.

Modularity

Modular Design
Diverse Expansion

The modular design ensures easy assembly and maintenance.
The highly reliable expansion platform supports diverse application needs.
Apollo’s modular approach separates the battery, electronic control,
and motor systems for convenient integration and upkeep.
The ultra-platform support framework (30 mm) offers a robust base for mounting various operational sensors.