Kenneth Shaw
Scholar

Kenneth Shaw

Google Scholar ID: T3yF9yWrz2UC
Graduate Student, Carnegie Mellon University
Dexterous ManipulationRobot Learning
Citations & Impact
All-time
Citations
809
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Research Experience
  • Currently pursuing his PhD at the Robotics Institute, Carnegie Mellon University, under the advisement of Prof. Deepak Pathak, primarily focusing on dexterous manipulation.
Education
  • Graduated from Georgia Tech in Computer Engineering and worked on multi-agent systems and HRI with Prof. Sonia Chernova and Prof. Harish Ravichandar.
Background
  • Kenny is a 3rd year PhD student at the Robotics Institute in Carnegie Mellon University, focusing on dexterous manipulation. He has designed several low-cost, highly capable dexterous robotic hands aimed at making manipulation research and education more accessible. He develops highly dexterous control policies for these hands by leveraging human demonstrations from internet videos, teleoperation, and simulation. He is broadly interested in how we can create new democratized robotic hardware systems with unlocked capabilities from machine learning, and how the design of a robot's hardware shapes the way it learns.
Co-authors
0 total
Co-authors: 0 (list not available)