TEVIO: Thermal-Aided Event-Based Visual–Inertial Odometry for Robust State Estimation in Challenging Environments
Genda Gu(Hong Kong Polytechnic University), David Navarro-Alarcón(Hong Kong Polytechnic University), Peng Zhou(Hong Kong Polytechnic University), Fangyi Hu(Hong Kong Polytechnic University), Fangyuan Wang(Hong Kong Polytechnic University), Zhen He(Harbin Institute of Technology), Lu Li(Chinese Academy of Sciences), Muhammad Muddassir(Hong Kong Polytechnic University), Qiang Wang(Harbin Institute of Technology)
Cited by 6
Related Papers
Challenges and Outlook in Robotic Manipulation of Deformable Objects
|IEEE Robotics & Automation Magazine|2022|247
Automatic 3-D Manipulation of Soft Objects by Robotic Arms With an Adaptive Deformation Model
|IEEE Transactions on Robotics|2016|184
Path Planning With Automatic Seam Extraction Over Point Cloud Models for Robotic Arc Welding
|IEEE Robotics and Automation Letters|2021|142
Fourier-Based Shape Servoing: A New Feedback Method to Actively Deform Soft Objects into Desired 2-D Image Contours
|IEEE Transactions on Robotics|2017|140
Model-Free Visually Servoed Deformation Control of Elastic Objects by Robot Manipulators
|IEEE Transactions on Robotics|2013|121