1 citations · 3 across the 9 of their papers we have counts for
5 papers · 1 filter
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting
Matthew Strong, Boshu Lei, Aiden Swann +3
We propose a framework for active next best view and touch selection for robotic manipulators using 3D Gaussian Splatting (3DGS). 3DGS is emerging as a useful explicit 3D scene rep…
SAFER-Splat: A Control Barrier Function for Safe Navigation with Online Gaussian Splatting Maps
Timothy Chen, Aiden Swann, Javier Yu +4
SAFER-Splat (Simultaneous Action Filtering and Environment Reconstruction) is a real-time, scalable, and minimally invasive action filter, based on control barrier functions, for s…
Dynamic Layer Detection of Thin Materials using DenseTact Optical Tactile Sensors
Ankush Kundan Dhawan, Camille Chungyoun, Karina Ting +1
Manipulation of thin materials is critical for many everyday tasks and remains a significant challenge for robots. While existing research has made strides in tasks like material s…
Splat-MOVER: Multi-Stage, Open-Vocabulary Robotic Manipulation via Editable Gaussian Splatting
Ola Shorinwa, Johnathan Tucker, Aliyah Smith +5
We present Splat-MOVER, a modular robotics stack for open-vocabulary robotic manipulation, which leverages the editability of Gaussian Splatting (GSplat) scene representations to e…
Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting
Aiden Swann, Matthew Strong, Won Kyung Do +3
In this work, we propose a novel method to supervise 3D Gaussian Splatting (3DGS) scenes using optical tactile sensors. Optical tactile sensors have become widespread in their use…