157 citations · 327 across the 20 of their papers we have counts for
23 papers
On the Feasibility of EEG-based Motor Intention Detection for Real-Time Robot Assistive Control
Ho Jin Choi, Satyajeet Das, Shaoting Peng +2
This paper explores the feasibility of employing EEG-based intention detection for real-time robot assistive control. We focus on predicting and distinguishing motor intentions of…
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
Isabella Huang, Yashraj Narang, Ruzena Bajcsy +3
Robotic grasping of 3D deformable objects is critical for real-world applications such as food handling and robotic surgery. Unlike rigid and articulated objects, 3D deformable obj…
DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects
Isabella Huang, Yashraj Narang, Clemens Eppner +5
Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, internal organs, bottles/boxes) is critical for real-world applications such as food processing, robotic surgery…
Deformable Elasto-Plastic Object Shaping using an Elastic Hand and Model-Based Reinforcement Learning
Carolyn Matl, Ruzena Bajcsy
Deformable solid objects such as clay or dough are prevalent in industrial and home environments. However, robotic manipulation of such objects has largely remained unexplored in l…
StRETcH: a Soft to Resistive Elastic Tactile Hand
Carolyn Matl, Josephine Koe, Ruzena Bajcsy
Soft optical tactile sensors enable robots to manipulate deformable objects by capturing important features such as high-resolution contact geometry and estimations of object compl…
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics
Carolyn Matl, Yashraj Narang, Dieter Fox +2
Sound is an information-rich medium that captures dynamic physical events. This work presents STReSSD, a framework that uses sound to bridge the simulation-to-reality gap for stoch…