Human AugmentatioN via Dexterity

Revolutionizing Robot Dexterity and Empowering Human Work

DexNex Drake Sim

DexNex is the bimanual dexterous teleoperation system at Northwestern. This project will produce a high-fidelity simulation of DexNex using Drake as the physics/simulation engine. In order to support other projects in Thrust 2, the simulation will support:

– Repeatable testing/development of basic teleop and control capabilities.
– Rapid simulation-based experiments to evaluate novel hardware/sensing capabilities.
– Machine learning approaches for dexterous control and autonomy.

We anticipate this simulation being an important shared resource across the center, and that support will quickly expand to cover novel hardware from thrusts 1 and 3.

Project Leads

Russ Tedrake

Russ Tedrake

Massachusetts Institute of Technology

Toby Buckley

Toby Buckley

Northwestern University

Project Team

Jian Cao

Jian Cao

Northwestern University

Matthew Elwin

Matthew Elwin

Northwestern University

Oliver Kroemer

Oliver Kroemer

Carnegie Mellon University

Kevin Lynch

Kevin Lynch

Northwestern University

Person using virtual headset and robotic arms to solder material.

The DexNex hardware platform.