83 citations · 128 across the 8 of their papers we have counts for
9 papers
Shakebot: A Low-cost, Open-source Robotic Shake Table for Earthquake Research and Education
Zhiang Chen, Devin Keating, Yash Shethwala +5
Shake tables serve as a critical tool for simulating earthquake events and testing the response of structures to seismic forces. However, existing shake tables are either expensive…
Quantifying and analyzing rock trait distributions of rocky fault scarps using deep learning approach
Zhiang Chen, Chelsea Scott, Devin Keating +3
We apply a deep learning model to segment and identify rock characteristics based on a Structure-from-Motion orthomap and digital elevation model of a rocky fault scarp in the Volc…
Autonomous Robotic Mapping of Fragile Geologic Features
Zhiang Chen, J Ramon Arrowsmith, Jnaneshwar Das
Robotic mapping is useful in scientific applications that involve surveying unstructured environments. This paper presents a target-oriented mapping system for sparsely distributed…
Robotics During a Pandemic: The 2020 NSF CPS Virtual Challenge -- SoilScope, Mars Edition
Darwin Mick, K. Srikar Siddarth, Swastik Nandan +3
Remote sample recovery is a rapidly evolving application of Small Unmanned Aircraft Systems (sUAS) for planetary sciences and space exploration. Development of cyber-physical syste…
Localization and Mapping of Sparse Geologic Features with Unpiloted Aircraft Systems
Zhiang Chen, Sarah Bearman, J Ramon Arrowsmith +1
Robotic mapping is attractive in many scientific applications that involve environmental surveys. This paper presents a system for localization and mapping of sparsely distributed…
OpenUAV Cloud Testbed: a Collaborative Design Studio for Field Robotics
Harish Anand, Stephen A. Rees, Zhiang Chen +4
Simulations play a crucial role in robotics research and education. This paper presents the OpenUAV testbed, an open-source, easy-to-use, web-based, and reproducible software syste…
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning
Zhiang Chen, Tyler R. Scott, Sarah Bearman +5
We present a pipeline for geomorphological analysis that uses structure from motion (SfM) and deep learning on close-range aerial imagery to estimate spatial distributions of rock…
Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association
Xu Liu, Steven W. Chen, Chenhao Liu +5
We present a cheap, lightweight, and fast fruit counting pipeline that uses a single monocular camera. Our pipeline that relies only on a monocular camera, achieves counting perfor…
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion
Xu Liu, Steven W. Chen, Shreyas Aditya +6
We present a novel fruit counting pipeline that combines deep segmentation, frame to frame tracking, and 3D localization to accurately count visible fruits across a sequence of ima…