Menu

Dexterous Robotic Hands

Free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation in research using MGHPCC computing resources.

At one year old, a baby is more dexterous than a robot. While machines can perform tasks, they lack natural exploratory and sophisticated manipulation skills. OpenAI’s Dactyl uses a humanoid robot hand to solve a Rubik’s cube, moving towards general AI. DeepMind’s RGB-Stacking system teaches robots to grab and stack items. MIT’s CSAIL developed a framework enabling a robotic hand to reorient over 2,000 objects, enhancing its ability to manipulate various items and generalize to unseen objects. This progress aims to replicate human dexterity in machines.

Pulkit Agrawal
Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT

Research projects

Tornado Path Detection
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
A Future of Unmanned Aerial Vehicles
Modeling Breast Cancer Spread
Remote Sensing of Earth Systems
Computational Molecular Ecology
QuEra at the MGHPCC
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

Outreach & Education Projects

See ALL Scholarships
100 Bigelow Street, Holyoke, MA 01040