Masterclass V1.0.6

Hexapod Walking Gait

Tripod Pattern Biomimetic Logic

The Challenge

"Welcome to the big leagues! Coordinating 6 legs at once is one of the hardest things in robotics. But don't worry, we're going to do it 'to the bone.'"

01. Installation

Before we do anything, let's get the engine installed on your machine. This gives us the high-speed "Heartbeat" we need for smooth walking.

$ pip install kenate --no-cache-dir

02. The Walking Plan (Pseudo-Code)

START: Center all 6 legs so the robot is standing tall.

TRIPOD A: Lift legs 1, 3, and 5 together.

TRIPOD B: While Group A is lifting, legs 2, 4, and 6 push the ground.

COORDINATION: Use a Sine wave to make the transition smooth instead of bouncy.

SYSTEM CHECK: Constantly check the height sensor. If the robot 'sags', adjust power.

DATA: Save every single leg position to the Black Box for later.

03. The Implementation

from kenate import Robot, BaseState
from kenate.stdlib import WaitState, BlackBoxLogger
from kenate.diag import TerminalVisualizer
import math
import time

class HexapodWalking(BaseState):
    """
    RATIONALE: We don't use 'if' statements to walk. We use Sine waves. 
    It makes the robot move like a living creature instead of a stuttering toy.
    """
    def on_enter(self):
        print("\n[GAIT] Initializing Biomimetic Tripod Sequence...")
        self.logger = BlackBoxLogger()
        self.viz = TerminalVisualizer(robot_id="HEXA-v1")
        
        # Our internal "Clock" for the walking wave
        self.cycle_time = 0.0 
        self.step_height = 5.0 
        self.walking_speed = 2.0 

    def on_update(self):
        # 1. TIME: Constant 1ms heartbeat
        self.cycle_time += 0.001 
        
        # 2. THE WAVE: Tripod pattern (Sine Wave transition)
        wave_a = math.sin(self.cycle_time * self.walking_speed * 2 * math.pi)

        # 3. LEG LIFT: Calculate lift heights
        leg_group_a_height = max(0, wave_a * self.step_height)
        leg_group_b_height = max(0, -wave_a * self.step_height)

        # 4. SENSORS: Monitor ground and thermals
        ground_distance = self.get_height_sensor()
        temp = self.get_system_temperature()

        # 5. DASHBOARD: Live Telemetry
        self.viz.render(self.name, {
            'height': ground_distance,
            'distance': leg_group_a_height,
            'battery': 95,
            'temp': temp,
            'signal': 100
        })

        # 6. BLACK BOX: High-frequency recording
        self.logger.log(self.name, {
            'height': ground_distance, 
            'distance': leg_group_a_height, 
            'temp': temp
        })

def main():
    robot = Robot(port="SIMULATION")
    robot.create_state("TripodGait", HexapodWalking)
    
    try:
        robot.start()
        for _ in range(100):
            time.sleep(0.1)
    finally:
        robot.stop()

Breakdown: To The Bone

Sine Wave Rationale

We don't use boolean gates for motion. Using math.sin() ensures that velocity ramps up and down naturally at the peak and trough of every step. This prevents mechanical stress on the plastic servo gears and eliminates "shaking."

The Cycle Clock

Because on_update() is called every 1ms by the C++ Kernel, adding 0.001 to our clock isn't just a guess—it is exactly one millisecond of real-world time.

04. Moving to the Real Robot

When you're ready to see the legs move for real, copy this file onto your robot (SSH/Git). Change the port from "SIMULATION" to "GPIO" or "/dev/ttyUSB0".

Once you run the script, the C++ Heartbeat takes over and the hexapod stands up!

Visualizer

Delivery Robot