Trajectory retiming is the task of computing a feasible time parameteriz...
Quadrupeds are robots that have been of interest in the past few years d...
Visual Inertial Odometry (VIO) is one of the most established state
esti...
For the Hilti Challenge 2022, we created two systems, one building upon ...
We propose a novel hybrid cable-based robot with manipulator and camera ...
Legged robot locomotion is a challenging task due to a myriad of
sub-pro...
We propose im2nerf, a learning framework that predicts a continuous neur...
We present a locally optimal tracking controller for Cable Driven Parall...
We present Panoptic Neural Fields (PNF), an object-aware neural scene
re...
We propose factor graph optimization for simultaneous planning, control,...
This paper introduces a novel proprioceptive state estimator for legged
...
We present GTGraffiti, a graffiti painting system from Georgia Tech that...
Roboticists frequently turn to Imitation learning (IL) for data efficien...
Dynamical systems with a distributed yet interconnected structure, like
...
We present a novel continuous time trajectory representation based on a
...
Besides the COVID-19 pandemic and political upheaval in the US, 2020 was...
In this paper, we introduce dynamics factor graphs as a graphical framew...
This paper presents a novel factor graph-based approach to solve the
dis...
Shonan Rotation Averaging is a fast, simple, and elegant rotation averag...
This paper presents a kinodynamic motion planner that is able to produce...
Chinese calligraphy is a unique art form with great artistic value but
d...
This paper describes a unified method solving for inverse, forward, and
...
Chinese calligraphy is a unique form of art that has great artistic valu...
In this paper, we explore the task of robot sculpting. We propose a sear...
Pose estimation is a vital step in many robotics and perception tasks su...
In this paper, we provide a modern synthesis of the classic inverse
comp...
Image alignment tasks require accurate pixel correspondences, which are
...
We present a unified probabilistic framework for simultaneous trajectory...
Autonomous crop monitoring at high spatial and temporal resolution is a
...
We propose a continuous optimization method for solving dense 3D scene f...