Greg Turk
Scholar

Greg Turk

Google Scholar ID: Q_4d9N0AAAAJ
Professor, Georgia Tech
Computer GraphicsRoboticsScientific VisualizationBiological Simulation
Citations & Impact
All-time
Citations
4,972
 
H-index
39
 
i10-index
81
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications:
  • - Multiple papers published, with online versions available for most documents.
  • - NSF-funded work on Robotic Assistance with Dressing.
Research Experience
  • Involved in multiple research projects, including:
  • - Learning to manipulate amorphous materials
  • - Simulation to real transfer of robot policies for biped locomotion
  • - Transfer of robot policies using strategy optimization
  • - Learning symmetric and low-energy locomotion using deep reinforcement learning
  • - Learning a universal policy for robot control
  • - Predicting future land cover using machine learning
  • - Animating human dressing
  • - Blending between liquid animations
  • - Learning bicycle stunts
  • - How did the four-flipper plesiosaurs swim
  • - Simulation of fluids using hybrid SPH
  • - Using meshes to control liquids
  • - Animation of soft body locomotion
  • - Animation of swimming creatures
  • - Simulation of anisotropic patterns of biomass in wetlands
  • - Stable proportional-derivative animation controllers
  • - Sticky Feet: creature evolution in a simulated environment
  • - Simulation of surface tension using a mesh-based approach
  • - Animating fluids with thin features
  • - Surface reconstruction for particle-based fluids
  • - Simulated swimming for articulated bodies
  • - Survey of the state of the art in example-based texture synthesis
  • - Material space texturing
  • - Fast simulation of viscoelastic materials with thin features
  • - Animation of viscoplastic flow by dynamic re-meshing
  • - Shallow wave equations on surfaces
  • - Erosion and corrosion of solid objects
  • - User-guided terrain synthesis using real digital elevation maps
  • - User control of particle system simulations, including cloth and flocking
  • - Tensor field design for non-photorealistic rendering
  • - Vector field design on surfaces
Background
  • Interests: Computer graphics, robotics, machine learning, simulation for biology.
Miscellany
  • Interests:
  • - Computer graphics related topics, such as the significance of Erdös numbers for computer graphics researchers.
Co-authors
0 total
Co-authors: 0 (list not available)