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Zhenzhong Jia

10 accepted papers

2024

Foot Vision: A Vision-Based Multi-Functional Sensorized Foot for Quadruped Robots

RA-L 2024

Quadruped robots equipped with sensorless feet can only provide limited information regarding the foot interaction with the surroundings, limiting their off-road exploration capability in unstructured environments. To tackle this problem, we present Foot Vision, an innovative vision-based sensorized

Cited by 10SourceScholar
2024

TAIL: A Terrain-Aware Multi-Modal SLAM Dataset for Robot Locomotion in Deformable Granular Environments

RA-L 2024

Terrain-aware perception holds the potential to improve the robustness and accuracy of autonomous robot navigation in the wilds, thereby facilitating effective off-road traversals. However, the lack of multi-modal perception across various motion patterns hinders the solutions of Simultaneous Locali

Cited by 14SourcecodeScholar
2023

Wheel Vision: Wheel-Terrain Interaction Measurement and Analysis Using a Sensorized Transparent Wheel on Deformable Terrains

RA-L 2023

The off-road locomotion of wheeled mobile robots (WMRs) over soft terrains can be quite challenging due to the complicated wheel-terrain interaction (WTI). To avoid unforeseen non-geometric hazards such as excessive sinkage or slippage, it is crucial to oversee these terrain-related uncertainties. H

Cited by 13SourceScholar
2023

Wheel-Terrain Contact Geometry Estimation and Interaction Analysis Using Aside-Wheel Camera Over Deformable Terrains

RA-L 2023

Wheeled mobile robots (WMRs) have been proven to be quite competitive and useful in outdoor missions. However, they may face serious sinkage or slippage on deformable terrains, and even get stuck or damaged, thereby causing mission failure. To mitigate these risks, it is essential to closely monitor

Cited by 10SourceScholar
2022

Predict the Rover Mobility Over Soft Terrain Using Articulated Wheeled Bevameter

RA-L 2022

Robot mobility is critical for mission success, especially in soft or deformable terrains, where the complex wheel-soil interaction mechanics often leads to excessive wheel slip and sinkage, causing the eventual mission failure. To improve the rover performance, online mobility prediction using visi

Cited by 21SourceScholar
2019

MRS-VPR: a multi-resolution sampling based global visual place recognition method

ICRA 2019poster

Place recognition and loop closure detection are challenging for long-term visual navigation tasks. SeqSLAM is considered to be one of the most successful approaches to achieve long-term localization under varying environmental conditions and changing viewpoints. SeqSLAM uses a brute-force sequentia…

Cited by 20SourceScholar
2018

Sensor Selection and Stage & Result Classifications for Automated Miniature Screwdriving

IROS 2018poster

Hundreds of billions of small screws are assembled in consumer electronics industry every year, yet reliably automating the screwdriving process remains one of the most challenging tasks. Two barriers to further adoption of robotic threaded fastening systems are system cost and technical challenges,…

Cited by 9SourceScholar