activity
20172022
most citedSymForce: Symbolic Computation and Code Generation for Robotics

17 citations · 34 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2022

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned

Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter +33

This article presents the CERBERUS robotic system-of-systems, which won the DARPA Subterranean Challenge Final Event in 2021. The Subterranean Challenge was organized by DARPA with…

cs.RO2022★ 17 cited

SymForce: Symbolic Computation and Code Generation for Robotics

Hayk Martiros, Aaron Miller, Nathan Bucki +13

We present SymForce, a library for fast symbolic computation, code generation, and nonlinear optimization for robotics applications like computer vision, motion planning, and contr…

cs.RO2022★ 2 cited

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Marco Tranzatto, Frank Mascarich, Lukas Bernreiter +38

Autonomous exploration of subterranean environments constitutes a major frontier for robotic systems as underground settings present key challenges that can render robot autonomy h…

cs.RO2020

Appendix for the Motion Primitives-based Path Planning for Fast and Agile Exploration Method

Mihir Dharmadhikari, Tung Dang, Kostas Alexis

This manuscript presents enhancements on our motion-primitives exploration path planning method for agile exploration using aerial robots. The method now further integrates a globa…

cs.RO2020★ 8 cited

Autonomous Aerial Robotic Surveying and Mapping with Application to Construction Operations

Huan Nguyen, Frank Mascarich, Tung Dang +1

In this paper we present an overview of the methods and systems that give rise to a flying robotic system capable of autonomous inspection, surveying, comprehensive multi-modal map…

cs.RO2018★ 5 cited

Visual-Inertial Odometry-enhanced Geometrically Stable ICP for Mapping Applications using Aerial Robots

Tung Dang, Shehryar Khattak, Christos Papachristos +1

This paper presents a visual-inertial odometry-enhanced geometrically stable Iterative Closest Point (ICP) algorithm for accurate mapping using aerial robots. The proposed method e…

cs.RO2017★ 2 cited

Towards Robotically Supported Decommissioning of Nuclear Sites

Frank Mascarich, Taylor Wilson, Tung Dang +3

This paper overviews certain radiation detection, perception, and planning challenges for nuclearized robotics that aim to support the waste management and decommissioning mission.…