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Xiao Cao

5 accepted papers

2026

Effective Trajectory Tracking with Convex-Optimization Based Obstacle-Avoidance Method for Continuum Robot

ICRA 2026poster

A cable-driven continuum robot with high redundancy is capable of performing the tip trajectory tracking task while simultaneously satisfying additional safety constraints, such as joint limits or external obstacles in the environment. To address these challenges, efficient motion planning methods a…

Cited by 0Scholar
2026

Let Your Image Move with Your Motion! -- Implicit Multi-Object Multi-Motion Transfer

CVPR 2026

Motion transfer has emerged as a promising direction for controllable video generation, yet existing methods largely focus on single-object scenarios and struggle when multiple objects require distinct motion patterns. In this work, we present FlexiMMT, the first implicit image-to-video (I2V) motion

Cited by 0SourcecodeScholar
2026

Real-Time Trajectory Optimization for Continuum Robots in Human–Robot Interaction Using Vision-Based Target Pose Estimation

ICRA 2026poster

Continuum robots possess intrinsic compliance, high flexibility, and continuously deformable structures, making them well-suited for safe human–robot interaction (HRI). However, their continuous backbone and high degrees of freedom pose significant challenges for real-time trajectory generation: mot…

Cited by 0Scholar
2025

3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image

NeurIPS 2025poster

Image-based 3D texture transfer from a single 2D reference image enables practical customization of 3D object appearances with minimal manual effort. Adapted 2D editing and text-driven 3D editing approaches can serve this purpose. However, 2D editing typically involves frame-by-frame manipulation, o…

Cited by 0SourcecodeScholar
2024

HMA-SAR: Multi-Agent Search and Rescue for Unknown Located Dynamic Targets in Completely Unknown Environments

RA-L 2024

Multi-Agent Search and Rescue (MASAR) tasks, challenged by unknown environments and the unpredictable movements of unknown dynamic targets, suffer from inefficiencies in traditional map coverage techniques which require repeated sweeps. Addressing this, our study introduces a novel MASAR framework b

Cited by 31SourceScholar