activity
20182026
most citedMRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches

4 citations · 8 across the 19 of their papers we have counts for

collaborators

24 papers

cs.RO2026

Vision-TL-Action: Neuro-Symbolic Trajectory Generation from Visual Observations and Temporal Logic

Zezhi Liu, Zhiwei Zheng, Hanqian Luo +3

Temporal logic (TL) provides a compositional language for the formulation of long horizon robotic tasks, but existing TL-conditioned trajectory generators can sidestep perception-t…

cs.LG2026

Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers

Yingying Wu, Jinchao Liu, Yan Wang +3

Nondestructive detection methods, based on vibrational spectroscopy, are vitally important in a wide range of applications including industrial chemistry, pharmacy and national def…

eess.SY2026

Differentiable Optimization Layered Safety-Critical Control for Risk-Aware Navigation via Conformal Prediction

Jinyang Dong, Shizhen Wu, Yongchun Fang

Risk-aware navigation in unknown environments is a fundamental challenge for autonomous vehicles operating in complex urban systems. To address this issue, this paper presents a di…

cs.RO2026

Neural Network-Based Adaptive Event-Triggered Control for Dual-Arm Unmanned Aerial Manipulator Systems

Yang Wang, Hai Yu, Wei He +3

This paper investigates the control problem of dual-arm unmanned aerial manipulator systems (DAUAMs). Strong coupling between the dual-arm and the multirotor platform, together wit…

cs.RO2026

A General One-Shot Multimodal Active Perception Framework for Robotic Manipulation: Learning to Predict Optimal Viewpoint

Deyun Qin, Zezhi Liu, Hanqian Luo +2

Active perception in vision-based robotic manipulation aims to move the camera toward more informative observation viewpoints, thereby providing high-quality perceptual inputs for…

cs.CV2025

FastGS: Training 3D Gaussian Splatting in 100 Seconds

Shiwei Ren, Tianci Wen, Yongchun Fang +1

The dominant 3D Gaussian splatting (3DGS) acceleration methods fail to properly regulate the number of Gaussians during training, causing redundant computational time overhead. In…