Skip to Content

Sponsors

No results

Keywords

No results

Types

No results

Search Results

Events

No results
Search events using: keywords, sponsors, locations or event type
When / Where
All occurrences of this event have passed.
This listing is displayed for historical purposes.

Presented By: Michigan Robotics

Data-Efficient Robotic Manipulation of Deformable One-dimensional Objects with Unreliable Dynamics

PhD Defense, Peter Mitrano

A yellow quadruped robot with a grasping arm reaches for the end of a vacuum hose to drag it over an obstacle and toward a mess of blocks. A yellow quadruped robot with a grasping arm reaches for the end of a vacuum hose to drag it over an obstacle and toward a mess of blocks.
A yellow quadruped robot with a grasping arm reaches for the end of a vacuum hose to drag it over an obstacle and toward a mess of blocks.
This dissertation takes a step to increase the abilities of robots to manipulate deformable objects, like ropes and cables. I focus on two problems, our inability to accurately predict in all scenarios how a DOO will move or deform, and the cost of collecting training data in robotic manipulation. I present a system that can quickly learn to manipulation the DOO despite limited data and imperfect predictions, as well as plan grasps and regrasps when the robot gets stuck.

Chair: Dmitry Berenson
Meeting password: rope
A yellow quadruped robot with a grasping arm reaches for the end of a vacuum hose to drag it over an obstacle and toward a mess of blocks. A yellow quadruped robot with a grasping arm reaches for the end of a vacuum hose to drag it over an obstacle and toward a mess of blocks.
A yellow quadruped robot with a grasping arm reaches for the end of a vacuum hose to drag it over an obstacle and toward a mess of blocks.

Explore Similar Events

  •  Loading Similar Events...

Back to Main Content