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20172023
most citedStereo Visual Inertial LiDAR Simultaneous Localization and Mapping

9 citations · 19 across the 5 of their papers we have counts for

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Showing cs.ROShow all

6 papers · 1 filter

cs.RO2023

Toward Semantic Scene Understanding for Fine-Grained 3D Modeling of Plants

Mohamad Qadri, Harry Freeman, Eric Schneider +1

Agricultural robotics is an active research area due to global population growth and expectations of food and labor shortages. Robots can potentially help with tasks such as prunin…

cs.RO2023

Autonomous Apple Fruitlet Sizing with Next Best View Planning

Harry Freeman, George Kantor

In this paper, we present a next-best-view planning approach to autonomously size apple fruitlets. State-of-the-art viewpoint planners in agriculture are designed to size large and…

cs.RO20231 cited

3D Skeletonization of Complex Grapevines for Robotic Pruning

Eric Schneider, Sushanth Jayanth, Abhisesh Silwal +1

Robotic pruning of dormant grapevines is an area of active research in order to promote vine balance and grape quality, but so far robotic efforts have largely focused on planar, s…

cs.RO20215 cited

Semantic Feature Matching for Robust Mapping in Agriculture

Mohamad Qadri, George Kantor

Visual Simultaneous Localization and Mapping (SLAM) systems are an essential component in agricultural robotics that enable autonomous navigation and the construction of accurate 3…

cs.RO20199 cited

Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping

Weizhao Shao, Srinivasan Vijayarangan, Cong Li +1

Simultaneous Localization and Mapping (SLAM) is a fundamental task to mobile and aerial robotics. LiDAR based systems have proven to be superior compared to vision based systems du…

cs.RO2017

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation

Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar +2

Multisensory polices are known to enhance both state estimation and target tracking. However, in the space of end-to-end sensorimotor control, this multi-sensor outlook has receive…