Publications

Multi-Modal Geometric Learning for Grasping and Manipulation (Poster)

Published in Columbia Data Science Day, 2018

This work provides an architecture that incorporates depth and tactile information to create rich and accurate 3D models useful for robotic manipulation tasks.

Recommended citation: Jacob Varley, David Watkins-Valls, and Peter Allen. “Multi-Modal Geometric Learning for Grasping and Manipulation (Poster)”. In: Columbia Data Science Day (2018). http://davidwatkinsvalls.com/files/2018-spring-mmglfgam.pdf

Visual-Tactile Geometric Reasoning (Abstract and Poster)

Published in RSS, 2017

This work utilizes a 3D Convolutional Neural Network (CNN) to enable 3D geometric reasoning by incorporating both tactile and depth information to infer occluded geometries

Recommended citation: Jacob Varley, David Watkins, and Peter Allen. “Visual-Tactile Geometric Reasoning (Abstract and Poster)”. In: Data-Driven Manipulation workshop, Robotics: Science and Systems (2017). https://ddm2017.mit.edu/sites/default/files/documents/3.pdf

Human Robot Interface for Assistive Grasping (Poster)

Published in NEMS, 2017

This work describes a new human-in-the-loop (HitL) assistive grasping system for individuals with varying levels of physical capabilities.

Recommended citation: David Watkins-Valls, Chaiwen Chou, Caroline Weinberg, Jacob Varley, Lynne Weber, Adam Blanchard, Peter Allen, Joel Stein "Human Robot Interface for Assistive Grasping (Poster)". In: New England Manipulation Symposium (2017). http://davidwatkinsvalls.com/files/2017_summer_hrifagp.pdf

Human Robot Interface for Assistive Grasping

Published in arXiv, 2017

This work describes a new human-in-the-loop (HitL) assistive grasping system for individuals with varying levels of physical capabilities.

Recommended citation: citation coming soon