TACO reduces median ATE on KITTI from 97.0 m (IMU-only) to 16.3 m by triggering CVGL fixes via a closed-form cross-track error model, a five-point multi-crop search, yaw gating, and UKF fusion at 5-10% camera duty cycle.
DROID-SLAM: Deep visual SLAM for monocular, stereo, and RGB-D cameras
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
CHORD uses object-centric contact wrench guidance to improve RL scalability for long-horizon dexterous manipulation, reporting 82.12% average success on 1,831 of 4,739 benchmark tasks with real-world transfer.
citing papers explorer
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TACO: Trajectory Aligning Cross-view Optimisation
TACO reduces median ATE on KITTI from 97.0 m (IMU-only) to 16.3 m by triggering CVGL fixes via a closed-form cross-track error model, a five-point multi-crop search, yaw gating, and UKF fusion at 5-10% camera duty cycle.
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Learning Dexterous Manipulation Using Contact Wrench Guidance From Human Demonstration
CHORD uses object-centric contact wrench guidance to improve RL scalability for long-horizon dexterous manipulation, reporting 82.12% average success on 1,831 of 4,739 benchmark tasks with real-world transfer.