Autonomous navigation in the underwater environment is challenging due t...
In this paper, we present algorithms to identify environmental hotspots ...
Robotics has dramatically increased our ability to gather data about our...
We consider the problem of routing a team of energy-constrained Unmanned...
We propose MAP-NBV, a prediction-guided active algorithm for 3D
reconstr...
In a typical path planning pipeline for a ground robot, we build a map (...
Prediction-based active perception has shown the potential to improve th...
Reinforcement learning-based policies for continuous control robotic
nav...
This paper introduces innovative data-driven techniques for estimating t...
We study the problem of learning a function that maps context observatio...
We present DyFOS, an active perception method that Dynamically Finds Opt...
Green Security Games with real-time information (GSG-I) add the real-tim...
We study the sample placement and shortest tour problem for robots taske...
Centralized approaches for multi-robot coverage planning problems suffer...
We study a resource allocation problem for the cooperative aerial-ground...
In this paper, we present a novel Heavy-Tailed Stochastic Policy Gradien...
In this work, we propose a novel Kernelized Stein
Discrepancy-based Post...
We study a chance-constrained variant of the cooperative aerial-ground
v...
In the typical path planning pipeline for a ground robot, we build a map...
We focus on parameterized policy search for reinforcement learning over
...
Monitoring the health and vigor of grasslands is vital for informing
man...
Persistently monitoring a region under localization and communication
co...
In this letter, we consider a distributed submodular maximization proble...
Deploying a team of robots that can carefully coordinate their actions c...
We consider scenarios where a ground vehicle plans its path using data
g...
We study the Symmetric Rendezvous Search Problem for a multi-robot syste...
We study the problem of visually inspecting the surface of a bridge usin...
Submodular maximization has been widely used in many multi-robot task
pl...
The Persistent Monitoring (PM) problem seeks to find a set of trajectori...
We introduce a risk-aware multi-objective Traveling Salesperson Problem ...
Maintaining a robust communication network plays an important role in th...
We study the problem of covering an environment using an Unmanned Aerial...
The task of maximizing coverage using multiple robots has several
applic...
The problem of assigning agents to tasks is a central computational chal...
We present an algorithm to explore an orthogonal polygon using a team of...
The multiple-path orienteering problem asks for paths for a team of robo...
We propose a risk-aware framework for multi-robot, multi-demand assignme...
We study the problem of incorporating risk while making combinatorial
de...
Cross-view matching refers to the problem of finding the closest match t...
We present the design of a radio antenna system for obtaining instantane...
We develop an effective computer model to simulate sensing environments ...
In this paper, we present techniques to measure crop heights using a 3D ...
We investigate the problem of multi-robot coordinated planning in
enviro...
We study the problem of infrastructure inspection using an Unmanned Aeri...
We aim to guard swarm-robotics applications against denial-of-service (D...
We are motivated by environmental monitoring tasks where finding the glo...
We study an informative path planning problem where the goal is to minim...
Varying terrain conditions and limited field-of-view restricts the visib...
We study the problem of searching for and tracking a collection of movin...
We study the problem of tracking multiple moving targets using a team of...