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Deformable Object Manipulation with a Tactile Reactive Gripper: PhD Thesis Defense - Neha Sunil

2025
deformable object manipulation
visuotactile perception
tactile sensing
GelSight
robotic manipulation
reactive control
modular perception
cloth manipulation
cable manipulation
cable sliding
plug insertion
tactile pose estimation
shear estimation
grip force control
LQR control
learned dynamics model
cloth edge tracing
towel folding
grasp affordance network
visuotactile affordances
tactile supervision
self-supervised grasping
edge vs fold classification
dense correspondence
garment correspondence
symmetry-aware correspondence
confidence-aware planning
distributional loss
KL divergence
simulation to real transfer
Blender synthetic dataset
in-air garment manipulation
cloth tensioning
tactile feedback
shear-based tension control
robotic folding
robotic hanging
assistive robotics
home care robots
industrial automation
generalizable manipulation
local control vs global state estimation
MIT

This thesis presents a modular visuotactile framework for real-time, reactive manipulation of deformable objects. Using GelSight tactile sensing plus vision, it enables tactile-only cable sliding and plug insertion, cloth edge tracing, and robust towel and garment folding/hanging via learned grasp affordances, dense correspondence, and confidence-aware planning.

 

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