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 11Simulation teleoperation

G1 and Ridgeback teleoperation in simulation

The G1 upper body with Dex1 dexterous hands and the Ridgeback are loaded into one NVIDIA Isaac Sim scene. The operator teleoperates the G1 to perform manipulation next to the Ridgeback.

Outcome·This verifies that the teleoperation interface works in Isaac Sim and that both robots can share the same workspace for the final object-placement task.

11/11

Milestones

11/11

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