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Active project

Alpha Dog

A compact four-legged robot for actuator experiments, stance control, impact tolerance, and repeatable gait development.

Current phase: Leg testbed

Alpha Dog quadruped

Subsystem

Quadruped locomotion

Focus

Gait control

Status

Leg testbed

Technical overview

A quadruped program centered on measurable leg behavior before speed.

Alpha Dog starts with the hard parts of locomotion: joint geometry, contact sensing, impact loads, current capture, and slow repeatable gait work.

Leg modules

Hip and knee geometry, joint serviceability, link stiffness, and foot contact data.

Body

Rigid spine layout, protected wiring, battery access, IMU placement, and impact tolerance.

Controls

Stance stability, crawl patterns, current limits, attitude logging, and recovery experiments.

Development timeline

Build phases.

01

Leg geometry

Lock the hip and knee geometry around reachable stride length, ground clearance, and repairable joints.

02

Single leg bench

Validate torque, backlash, foot contact sensing, and impact behavior before building the full body.

03

Body integration

Package four leg modules, the spine, battery, controller, IMU, and service access into one chassis.

04

Gait experiments

Run stance, crawl, trot, disturbance, and recovery tests with measured current and attitude data.

Hardware specifications

Current target architecture.

Alpha Dog keeps the first milestones focused on one leg, then the body, then controlled locomotion with measured data.

Project state
Leg module testbed
Robot class
Compact quadruped research platform
Actuation concept
Modular hip and knee joints with replaceable link geometry
Sensor plan
Joint position, foot contact, body IMU, current capture
Frame focus
Rigid spine, protected wiring, quick leg replacement
Control focus
Stable stance, repeatable gait primitives, fall recovery experiments

Roadmap

Next engineering work.

Complete a single instrumented leg and static load fixture.
Design a rigid spine that keeps electronics serviceable after hard impacts.
Implement stance and slow crawl before increasing gait speed.
Record fall and recovery behavior as engineering data, not just demo clips.