activity
20182022
most citedInformable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning

8 citations · 8 across the 1 of their papers we have counts for

collaborators

6 papers

cs.RO20228 cited

Informable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning

Jiunn-Kai Huang, Yingwen Tan, Dongmyeong Lee +2

Multi-objective or multi-destination path planning is crucial for mobile robotics applications such as mobility as a service, robotics inspection, and electric vehicle charging for…

cs.RO2020

Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs

Jiunn-Kai Huang, Chenxi Feng, Madhav Achar +2

Sensor calibration, which can be intrinsic or extrinsic, is an essential step to achieve the measurement accuracy required for modern perception and navigation systems deployed on…

cs.RO2019

Improvements to Target-Based 3D LiDAR to Camera Calibration

Jiunn-Kai Huang, Jessy W. Grizzle

The homogeneous transformation between a LiDAR and monocular camera is required for sensor fusion tasks, such as SLAM. While determining such a transformation is not considered gla…

cs.RO2019

LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Jiunn-Kai Huang, Shoutian Wang, Maani Ghaffari +1

Image-based fiducial markers are useful in problems such as object tracking in cluttered or textureless environments, camera (and multi-sensor) calibration tasks, and vision-based…

cs.RO2018

Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway

Yukai Gong, Ross Hartley, Xingye Da +4

The Cassie bipedal robot designed by Agility Robotics is providing academics a common platform for sharing and comparing algorithms for locomotion, perception, and navigation. This…

cs.RO2018

Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs

Ross Hartley, Maani Ghaffari Jadidi, Lu Gan +3

The factor graph framework is a convenient modeling technique for robotic state estimation where states are represented as nodes, and measurements are modeled as factors. When desi…