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20242026
most citedOccupancy-SLAM: An Efficient and Robust Algorithm for Simultaneously Optimizing Robot Poses and Occupancy Map

5 citations · 6 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

MR-MPCC: Model Predictive Contouring Control for Robotic Manipulator Tracking under Moving Reference Frames

Chonghao Cheng, Tiancheng Li, Jonathan Woolfrey +2

Maintaining small path-tracking errors under moving reference frames is essential for robotic manipulation tasks with tight execution tolerances, such as machining and surgical aut…

cs.RO2026

Adaptive Depth-Map-Guided Bundle Adjustment for Correspondence-Free Multi-View Point Cloud Registration

Yiran Zhou, Yingyu Wang, Shoudong Huang +1

Robotic processing of irregular steel scrap requires dense 3-D measurement to replace manual visual assessment in hazardous cutting workcells. The reconstructed map is used to esti…

cs.RO2026

Large-Scale Continuous Occupancy Mapping via Variance-Weighted Submap Joining

Zhuhua Bai, Yingyu Wang, Liang Zhao +1

Continuous occupancy mapping methods that learn spatial representations from sensor observations support predictions at arbitrary locations, but training a single global model can…

cs.RO2025★ 5 cited

Occupancy-SLAM: An Efficient and Robust Algorithm for Simultaneously Optimizing Robot Poses and Occupancy Map

Yingyu Wang, Liang Zhao, Shoudong Huang

Joint optimization of poses and features has been extensively studied and demonstrated to yield more accurate results in feature-based SLAM problems. However, research on jointly o…

cs.RO2025★ 1 cited

Grid-based Submap Joining: An Efficient Algorithm for Simultaneously Optimizing Global Occupancy Map and Local Submap Frames

Yingyu Wang, Liang Zhao, Shoudong Huang

Optimizing robot poses and the map simultaneously has been shown to provide more accurate SLAM results. However, for non-feature based SLAM approaches, directly optimizing all the…

cs.RO2024

Affine EKF: Exploring and Utilizing Sufficient and Necessary Conditions for Observability Maintenance to Improve EKF Consistency

Yang Song, Liang Zhao, Shoudong Huang

Inconsistency issue is one crucial challenge for the performance of extended Kalman filter (EKF) based methods for state estimation problems, which is mainly affected by the discre…

cs.RO2024

Partial-to-Full Registration based on Gradient-SDF for Computer-Assisted Orthopedic Surgery

Tiancheng Li, Peter Walker, Danial Hammoud +2

In computer-assisted orthopedic surgery (CAOS), accurate pre-operative to intra-operative bone registration is an essential and critical requirement for providing navigational guid…