CORE Labs
Cognitive roboticsDynamic manipulationOperational intelligence

DyNAMO

DyNAMO advances cognitive robotics by bridging perception, reasoning, and action — an integrated framework for dynamic navigation and manipulation, carried from simulation through to real hardware.

A cognitive robotic system built to adapt to unstructured environments and learn through interaction. It pairs foundation-model reasoning with classical navigation and control to reach versatile, robust behavior in real-world settings.

Objective

Integrate navigation, manipulation, and reasoning

Dynamo demonstrates an integrated system where a humanoid robot identifies, grasps, and places objects while working with an autonomously navigating mobile base. The core challenge is Sim2Real transfer: behavior developed in simulation must survive the noise and constraints of physical operation.

Research question

Can navigation and manipulation developed in simulation transfer to real hardware as one integrated system — and how reliably does each subsystem hold up under physical conditions?

RidgebackUnitree G1Isaac LabNav2

Experiment log

Milestone 12Zero-shot hand transfer

Towel pick and place on three-finger hands

The same pipeline runs on a soft, deformable object, a towel, with the G1 fitted with three-finger Dex3 hands. The simulation only ever modelled two-finger hands, so the policy has never seen this hand. The clip is shortened and sped up 1.5 to 2 times.

Outcome·The G1 picks the towel up and drops it into a box with no fine-tuning for the new hand: a zero-shot transfer to three fingers. It does not hold for every task. The cube task does not transfer zero-shot to the three-finger hand.

12/12

Milestones

12/12

Zero-shot hand transfer

Simulation teleoperation

Multi-object manipulation

Pick-and-place integration

Full environment exploration

Real-robot policy

Distance estimator benchmarking

Overlap detection

Demonstration data

Ridgeback perception and navigation

Environment generation

Humanoid teleoperation

System architecture
Dynamo system architecture
Fig. 1·Interfaces between navigation, manipulation, perception, and scene state.
Technical stack

Mobile base

Nav2 + exploration

Ridgeback navigation

Mapping · Path planning · Hardware-facing runs

Manipulator

Teleop + policy interface

Unitree G1 control

Command timing · Safety boundaries · Manipulation trials

Simulation

Repeatable test scenes

Isaac Lab pipeline

USD environments · Synthetic scenarios · Sim2Real validation

Integration

Mobility + manipulation

Interface contracts

Scene state · Perception links · Evidence loop