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Preprint Oct 2026

Refine Actions If Needed: Adaptive Action Chunk Refinement for Robot Manipulation

Computationally lightweight manipulation policies predict executable actions with low inference latency, but prediction errors can limit task success. Iterative generative policies can achieve higher task success rates, but repeated network evaluations increase inference latency. Refining action proposals from computat...

Han-Lin Liu, Zi-Chen Zhou, Jia-Cheng Zhang et al. · 0 citations
Preprint Oct 2026

Radar2Plan: Benchmarking 4D Radar for End-to-End Open-Loop Ego-Trajectory Planning

Adverse weather and poor illumination remain major challenges for robust ego-trajectory planning in mobile autonomy. 4D radar offers reliable sensing under adverse conditions and direct radial-velocity measurements. However, sensing robustness does not necessarily translate into robust downstream planning, while existi...

Lin Yao, Yi Xiao, Jin Jin et al. · 0 citations

HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds

HyperDet is presented, a detector- agnostic input enhancement pipeline that constructs task- aware hyper 4D radar point clouds by combining measured observations with completed foreground geometry, validating input-level radar enhancement as an effective approach to radar-only 3D detection.

Yi Xiao, Jin Jin, Run-Wei Guan et al. · 3 citations

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