most citedLearning to Grasp Clothing Structural Regions for Garment Manipulation Tasks

17 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

Examining the physical and psychological effects of combining multimodal feedback with continuous control in prosthetic hands

Digby Chappell, Zeyu Yang, Angus B. Clark +6

Myoelectric prosthetic hands are typically controlled to move between discrete positions and do not provide sensory feedback to the user. In this work, we present and evaluate a cl…

cs.RO2024

Beyond Humanoid Prosthetic Hands: Modular Terminal Devices That Improve User Performance

Digby Chappell, Barry Mulvey, Shehara Perera +3

Despite decades of research and development, myoelectric prosthetic hands lack functionality and are often rejected by users. This lack in functionality can be partially attributed…

cs.RO2023

The Hydra Hand: A Mode-Switching Underactuated Gripper with Precision and Power Grasping Modes

Digby Chappell, Fernando Bello, Petar Kormushev +1

Human hands are able to grasp a wide range of object sizes, shapes, and weights, achieved via reshaping and altering their apparent grasping stiffness between compliant power and r…

cs.RO2023★ 17 cited

Learning to Grasp Clothing Structural Regions for Garment Manipulation Tasks

Wei Chen, Dongmyoung Lee, Digby Chappell +1

When performing cloth-related tasks, such as garment hanging, it is often important to identify and grasp certain structural regions -- a shirt's collar as opposed to its sleeve, f…

cs.RO2023

Immersive Demonstrations are the Key to Imitation Learning

Kelin Li, Digby Chappell, Nicolas Rojas

Achieving successful robotic manipulation is an essential step towards robots being widely used in industry and home settings. Recently, many learning-based methods have been propo…