activity
20152024
most citedLOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

129 citations · 652 across the 54 of their papers we have counts for

collaborators

58 papers

cs.RO2024

Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments

Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer +1

To achieve autonomy in complex real-world exploration missions, we consider deployment strategies for a team of robots with heterogeneous autonomy capabilities. In this work, we fo…

cs.RO2023★ 2 cited

Contact-Prioritized Planning of Impact-Resilient Aerial Robots with an Integrated Compliant Arm

Zhichao Liu, Zhouyu Lu, Ali-akbar Agha-mohammadi +1

The article develops an impact-resilient aerial robot (s-ARQ) equipped with a compliant arm to sense contacts and reduce collision impact and featuring a real-time contact force es…

cs.RO2023

A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments

Jason Gibson, Bogdan Vlahov, David Fan +4

Modeling dynamics is often the first step to making a vehicle autonomous. While on-road autonomous vehicles have been extensively studied, off-road vehicles pose many challenging m…

cs.RO2023

Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs

Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer +4

To achieve autonomy in unknown and unstructured environments, we propose a method for semantic-based planning under perceptual uncertainty. This capability is crucial for safe and…

cs.RO2023★ 12 cited

STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge

Anushri Dixit, David D. Fan, Kyohei Otsu +3

Although autonomy has gained widespread usage in structured and controlled environments, robotic autonomy in unknown and off-road terrain remains a difficult problem. Extreme, off-…

cs.RO2023

Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments

Amanda Bouman, Joshua Ott, Sung-Kyun Kim +5

We present a method for solving the coverage problem with the objective of autonomously exploring an unknown environment under mission time constraints. Here, the robot is tasked w…

cs.RO2023★ 15 cited

FRAME: Fast and Robust Autonomous 3D point cloud Map-merging for Egocentric multi-robot exploration

Nikolaos Stathoulopoulos, Anton Koval, Ali-akbar Agha-mohammadi +1

This article presents a 3D point cloud map-merging framework for egocentric heterogeneous multi-robot exploration, based on overlap detection and alignment, that is independent of…

cs.RO2023★ 1 cited

Fast and Scalable Signal Inference for Active Robotic Source Seeking

Christopher E. Denniston, Oriana Peltzer, Joshua Ott +6

In active source seeking, a robot takes repeated measurements in order to locate a signal source in a cluttered and unknown environment. A key component of an active source seeking…

cs.LG2022

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data

John So, Amber Xie, Sunggoo Jung +5

Autonomous driving is complex, requiring sophisticated 3D scene understanding, localization, mapping, and control. Rather than explicitly modelling and fusing each of these compone…

cs.RO2022★ 2 cited

Taxonomy of A Decision Support System for Adaptive Experimental Design in Field Robotics

Jason M. Gregory, Sarah Al-Hussaini, Ali-akbar Agha-mohammadi +1

Experimental design in field robotics is an adaptive human-in-the-loop decision-making process in which an experimenter learns about system performance and limitations through inte…

cs.RO2022★ 3 cited

Risk-aware Meta-level Decision Making for Exploration Under Uncertainty

Joshua Ott, Sung-Kyun Kim, Amanda Bouman +6

Robotic exploration of unknown environments is fundamentally a problem of decision making under uncertainty where the robot must account for uncertainty in sensor measurements, loc…

cs.RO2022★ 38 cited

Present and Future of SLAM in Extreme Underground Environments

Kamak Ebadi, Lukas Bernreiter, Harel Biggie +28

This paper reports on the state of the art in underground SLAM by discussing different SLAM strategies and results across six teams that participated in the three-year-long SubT co…

cs.RO2022

Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain

Robin Schmid, Deegan Atha, Frederik Schöller +8

Navigating off-road with a fast autonomous vehicle depends on a robust perception system that differentiates traversable from non-traversable terrain. Typically, this depends on a…

cs.RO2022

PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains

Sharmita Dey, David Fan, Robin Schmid +5

Legged robots can traverse a wide variety of terrains, some of which may be challenging for wheeled robots, such as stairs or highly uneven surfaces. However, quadruped robots face…

cs.RO2022★ 102 cited

LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time Underground 3D Mapping

Andrzej Reinke, Matteo Palieri, Benjamin Morrell +4

Lidar odometry has attracted considerable attention as a robust localization method for autonomous robots operating in complex GNSS-denied environments. However, achieving reliable…

cs.MA2022

ACHORD: Communication-Aware Multi-Robot Coordination with Intermittent Connectivity

Maira Saboia, Lillian Clark, Vivek Thangavelu +16

Communication is an important capability for multi-robot exploration because (1) inter-robot communication (comms) improves coverage efficiency and (2) robot-to-base comms improves…

cs.RO2022★ 1 cited

PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration

Lillian Clark, Jeffrey A. Edlund, Marc Sanchez Net +2

Multi-robot exploration of complex, unknown environments benefits from the collaboration and cooperation offered by inter-robot communication. Accurate radio signal strength predic…

cs.RO2022

REF: A Rapid Exploration Framework for Deploying Autonomous MAVs in Unknown Environments

Akash Patel, Björn Lindqvist, Christoforos Kanellakis +2

Exploration and mapping of unknown environments is a fundamental task in applications for autonomous robots. In this article, we present a complete framework for deploying MAVs in…

cs.RO2022★ 2 cited

LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments

Yun Chang, Kamak Ebadi, Christopher E. Denniston +9

Search and rescue with a team of heterogeneous mobile robots in unknown and large-scale underground environments requires high-precision localization and mapping. This crucial requ…

cs.RO2022★ 2 cited

Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM

Christopher E. Denniston, Yun Chang, Andrzej Reinke +5

Multi-robot SLAM systems in GPS-denied environments require loop closures to maintain a drift-free centralized map. With an increasing number of robots and size of the environment,…

cs.RO2022★ 2 cited

Copiloting Autonomous Multi-Robot Missions: A Game-inspired Supervisory Control Interface

Marcel Kaufmann, Robert Trybula, Ryan Stonebraker +6

Real-world deployment of new technology and capabilities can be daunting. The recent DARPA Subterranean (SubT) Challenge, for instance, aimed at the advancement of robotic platform…

cs.RO2022

FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget

Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim +8

We present a method for autonomous exploration of large-scale unknown environments under mission time constraints. We start by proposing the Frontloaded Information Gain Orienteeri…

cs.RO2021★ 8 cited

Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments

Nitish Dashora, Daniel Shin, Dhruv Shah +5

Geometric methods for solving open-world off-road navigation tasks, by learning occupancy and metric maps, provide good generalization but can be brittle in outdoor environments th…

cs.RO2021★ 5 cited

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

Kenny Chen, Brett T. Lopez, Ali-akbar Agha-mohammadi +1

Field robotics in perceptually-challenging environments require fast and accurate state estimation, but modern LiDAR sensors quickly overwhelm current odometry algorithms. To this…