Scaling to arbitrarily large bundle adjustment problems requires data an...
We present a method for controlling a swarm using its spectral decomposi...
Functional registration algorithms represent point clouds as functions (...
We consider the problem of distributed pose graph optimization (PGO) tha...
Cooperatively avoiding collision is a critical functionality for robots
...
We propose a novel sparse constrained formulation and from it derive a
r...
With growing access to versatile robotics, it is beneficial for end user...
In this paper, we generalize proximal methods that were originally desig...
Robot capabilities are maturing across domains, from self-driving cars, ...
In this paper, we consider the problem of planar graph-based simultaneou...
We present a data-driven shared control algorithm that can be used to im...
This paper presents a formulation for swarm control and high-level task
...
In this paper, we consider the problem of distributed pose graph optimiz...
We consider the problem of designing synthetic cells to achieve a comple...
Despite the fact that robotic platforms can provide both consistent prac...
We present a shared control paradigm that improves a user's ability to
o...
We describe a shared control methodology that can, without knowledge of ...
This paper addresses the problem of efficiently computing higher-order
v...
Hybrid systems, such as bipedal walkers, are challenging to control beca...
We present a novel approach to shared control of human-machine systems. ...
We present a structured neural network architecture that is inspired by
...