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
Massachusetts Institute of Technology

Toby Buckley
Northwestern University
Project Team

Jian Cao
Northwestern University

Matthew Elwin
Northwestern University

Oliver Kroemer
Carnegie Mellon University

Kevin Lynch
Northwestern University

The DexNex hardware platform.