Position vs. Force Control in Humanoid Robots, Explained
Compare position, force, hybrid and impedance control for humanoid strikes, contact and balance without assuming hidden T800 software.
Shenzhen Robot Combat
Independent technical encyclopedia of humanoid robot combat: robot specifications, official rules and engineering analysis from the Shenzhen robotics ecosystem.
Explore
Latest articles
Multi-Humanoid Coordination: Shared Perception and Roles
Explore multi-humanoid coordination through URKL Shanghai: shared perception, dynamic roles, relative positioning, networking and collision avoidance.
Humanoid Robot Thermal Management: Heat, Cooling and Combat
Humanoid combat heats motors, drives, batteries and computers. Learn how cooling, duty cycle and thermal limits affect sustained performance.
How to Measure Humanoid Punch Force: Sensors and Protocol
Learn how load cells, instrumented targets, calibration and force-time curves measure humanoid punch force—and why joint torque is different.
EngineAI T800 vs. Unitree G1: Size, Torque and Development
Compare EngineAI T800 and Unitree G1 dimensions, mass, DOF, torque, sensors, batteries and development options using official specifications.
EngineAI T800 Computing: Orin NX, AGX Orin and Thor
Compare T800 Orin NX 16GB, AGX Orin 64GB and optional Thor configurations, workloads, memory, thermal limits and autonomy claims.
EngineAI T800 Sensors: Binocular Cameras and 3D LiDAR
Explore T800 sensors by edition, how binocular vision and 3D LiDAR support perception, and why sensor hardware does not prove autonomy.
T800 Solid-State Battery: Official Claims and Missing Combat Data
EngineAI lists 3–5 hours of T800 battery life and up to four hours in solid-state battery marketing. Here is what combat data is still missing.
How Do Humanoid Robots Balance? URKL’s Control Loop Explained
Learn how IMUs, encoders, state estimation, center-of-mass control and recovery steps let humanoid robots kick, turn and get back up.
How Humanoid Robots Learn to Fight: Simulation to Combat Data
Explore how motion capture, simulation, reinforcement learning, sim-to-real testing and combat data can train humanoid robots for URKL.