A world model that learns physics from scratch and tells robots when to stop, slow down, or go.
# 1. Install
pip install nexus-mm-sdk
# 2. Use
from nexus_sdk import NexusRobot
robot = NexusRobot()
# Ask NEXUS for a decision
d = robot.decide("move_forward", "ice", 0.8)
print(d.action, d.risk) # stop 0.95
# Check backend health
print(robot.health())| Function | Description |
|---|---|
| robot.decide(action, surface, speed) | Robot safety decision |
| robot.simulate_physics(object, height, surface) | Physics simulation |
| robot.test_friction(surface, weight) | Friction testing |
| robot.test_material(material, height, force) | Material testing |
| robot.plan_route(start, goal, dangers) | Path planning |
| robot.predict_cause(action, target) | Cause-effect prediction |
| robot.can_fit(gap_width, gap_height) | Spatial reasoning |
| robot.predict_stack(objects) | Stability prediction |
| robot.train(predicted, actual) | Learn from outcomes |