3 papers
cs.RO2026
Towards Accurate End-Effector Localization for UMI-Style Robotic Manipulation Teaching
Junjie Zhang, Deteng Zhang, Zhisong Xu +4
Robot demonstration learning requires accurate and temporally complete end-effector localization during close-range manipulation and camera occlusion. Existing SLAM benchmarks emph…
cs.RO2026
Ultra-Fusion: A Resilient Tightly-Coupled Multi-Sensor Fusion SLAM Framework under Sensor Degradation and Spatiotemporal Perturbation for Intelligent Transportation Systems
Yihong Tian, Junjie Zhang, Liuyang Li +3
Reliable localization is essential for intelligent transportation systems (ITS), including autonomous vehicles, quadruped last-mile carriers, and infrastructure-inspection unmanned…
cs.RO2025
Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and A Resilient Framework
Deteng Zhang, Junjie Zhang, Yan Sun +4
Considerable advancements have been achieved in SLAM methods tailored for structured environments, yet their robustness under challenging corner cases remains a critical limitation…