News

  • 05 / 2026 Released BifrostUMI on arXiv, bridging robot-free demonstrations and humanoid whole-body manipulation.
  • 04 / 2026 Released OmniUMI on arXiv, a multimodal interface for physically grounded robot learning.
  • 04 / 2026 Launched this research homepage.
  • 2025 Published Thor, a project on human-level whole-body reactions for intense contact-rich humanoid interaction.
  • 2025 Published in Nature Communications on autonomous carotid ultrasonography.
  • 2025 Published in IEEE Transactions on Human-Machine Systems on adaptive virtual fixtures for comanipulation.
  • 2025 Published in Frontiers of Mechanical Engineering on smooth trajectory learning for teleoperated hydraulic manipulators.
  • 2025 Published in Pattern Recognition on sequence-aware pre-training for echocardiography probe guidance.

Selected Works

THOR2: General Motion Tracking for Humanoid Interactive Tasks

AETHER Team; Shaqi Luo

Pre-release preview · 2026 · arXiv coming soon

THOR2 is an upcoming general motion tracking model for humanoid robots, designed to help humanoids execute richer, more responsive motions for interactive, contact-rich tasks.

Video BifrostUMI

BifrostUMI: Bridging Robot-Free Demonstrations and Humanoid Whole-Body Manipulation

Chenhao Yu; Hongwu Wang; Youhao Hu; Jiachen Zhang; Yuanyuan Li; Shaqi Luo

arXiv · 2026 · Corresponding author

BifrostUMI connects natural robot-free human demonstrations to executable humanoid whole-body skills through sparse keypoint learning, spatial retargeting, and whole-body control.

Video OmniUMI

OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction

Shaqi Luo*; Yuanyuan Li*; Youhao Hu*; Chenhao Yu*; Chaoran Xu; Jiachen Zhang; Guocai Yao; Tiejun Huang; Ran He; Zhongyuan Wang

arXiv · 2026 · Co-first author

Video Thor

Thor: Towards human-level whole-body reactions for intense contact-rich environments

Gangyang Li; Qing Shi; Youhao Hu; Jincheng Hu; Zhongyuan Wang; Xinlong Wang; Shaqi Luo*

arXiv · 2025 · Under Review · Corresponding author

Cover image for UltraSeP paper
Image UltraSeP 2025

UltraSeP: Sequence-aware pre-training for echocardiography probe movement guidance

Haojun Jiang; Teng Wang; Zhenguo Sun; Yulin Wang; Yang Yue; Yu Sun; Ning Jia; Meng Li; Shaqi Luo; Shiji Song; Gao Huang

Pattern Recognition · 2025 · SCI (IF=7.6, CAS Q1, Top)

Video UltraBot

Towards expert-level autonomous carotid ultrasonography with large-scale learning-based robotic system

Haojun Jiang; Andrew Zhao; Qian Yang; Xiangjie Yan; Teng Wang; Yulin Wang; Ning Jia; Jiangshan Wang; Guokun Wu; Yang Yue; Shaqi Luo; Huanqian Wang; Ling Ren; Siming Chen; Pan Liu; Guocai Yao; Wenming Yang; Shiji Song; Xiang Li; Kunlun He; Gao Huang

Nature Communications · 2025 · 16(1): 7893 · SCI (IF=15.7, CAS Q1, Top)

Contribution: data acquisition system, compliant control, full-system integration & debug, and model exploration.

Cover image for Frontiers of Mechanical Engineering paper
Image FME 2025

Smooth trajectory learning of teleoperated hydraulic manipulator with motion noise cancellation

Shaqi Luo; Min Cheng; Xin Zhang; Ruqi Ding; Bing Xu

Frontiers of Mechanical Engineering · 2025 · 20(4): 31 · SCI (IF=4.7, CAS Q2, JCR Q1) · First author

Video THMS 2025

Adaptive Virtual Fixture Based on Learning Trajectory Distribution for Comanipulation Tasks

Shaqi Luo; Min Cheng; Ruqi Ding

IEEE Transactions on Human-Machine Systems · 2025 · 55(2): 165–175 · SCI (IF=4.4, CAS Q2, JCR Q1) · First author

Contribution: problem formulation, method design, experiments, analysis, writing & submission.

Cover image for Cardiac Copilot paper
Image MICCAI 2024

Cardiac Copilot: Automatic probe guidance for echocardiography with world model

Haojun Jiang; Zhenguo Sun; Ning Jia; Meng Li; Yu Sun; Shaqi Luo; Shiji Song; Gao Huang

MICCAI · 2024 · Oral Presentation

Image IROS 2024

A unified interaction control framework for safe robotic ultrasound scanning with human-intention-aware compliance

Xiangjie Yan; Shaqi Luo; Yongpeng Jiang; Mingrui Yu; Chen Chen; Senqiang Zhu; Gao Huang; Shiji Song; Xiang Li

IROS · 2024 · Oral · IEEE RAS flagship conference

Cover image for ICARM 2024 paper
Image ICARM 2024

Vision-based detection and real-time adaptive control schemes for autonomous ultrasound scanning robots

Guokun Wu; Shaqi Luo; Gao Huang; Xiang Li

ICARM · 2024 · Oral

Video TMech 2022

Human–Robot Shared Control Based on Locally Weighted Intent Prediction for a Teleoperated Hydraulic Manipulator System

Shaqi Luo; Min Cheng; Ruqi Ding; Feng Wang; Bing Xu; Bingkui Chen

IEEE/ASME Transactions on Mechatronics · 2022 · 27(6): 4462–4474 · SCI (IF=7.3, CAS Q1, Top journal) · First author

Contribution: scientific question, method, experiments, analysis, writing & submission.

Cover figure for Applied Mathematical Modelling 2021 paper
Video AMM 2021

Dynamic impact of hydraulic systems using pressure feedback for active damping

Min Cheng; Shaqi Luo; Ruqi Ding; Bing Xu; Junhui Zhang

Applied Mathematical Modelling · 2021 · 89: 454–469 · SCI (IF=5.336, CAS Q1, Top journal) · Second author (advisor as first & corresponding; student as second author)

Cover figure for IEEE Access 2019 paper
Image Access 2019

Dynamic analysis and improvement of the electrohydraulic system under power limitation control

Shaqi Luo; Min Cheng; Bing Xu; Ruqi Ding; Zenan Han

IEEE Access · 2019 · SCI (IF=3.9, CAS Q3)

Cover figure for AIM 2019 paper
Image AIM 2019

Comparison of acceleration control and pressure feedback for active damping improvement of hydraulic manipulators

Min Cheng; Shaqi Luo*; Junhui Zhang; Bing Xu; Ruqi Ding

AIM · 2019 · Oral · IEEE/ASME conference

Robotic Systems Engineering

Selected systems I built, integrated, tuned, and deployed beyond publication-facing research.

CCTV-2 coverage from the 2024 World Robot Conference, featuring the robotic ultrasound system.

Additional lab demonstration of the autonomous ultrasound scanning platform.

Debugging vlog from Franka-based ultrasound robot integration, including real-robot testing and deployment refinement.

Embodied AI for Medical Robotics

World-first cardiac ultrasound scanning robot

This was my first project after completing my PhD. Working with colleagues, we built and integrated the engineering backbone that moved the system from lab prototypes toward real-world medical robotics demonstrations. My main contributions included:

Robot-free data acquisition

Built data collection workflows for ultrasound probe guidance and human-robot interaction data.

Human-friendly compliant control

Developed safe, intention-aware interaction and compliant control for contact-rich ultrasound scanning.

Full-system deployment

Handled real-robot debugging, structural design, cross-arm deployment, and touchscreen interaction UI.

Model and system integration

Contributed to parts of model training, deployment, evaluation, and the end-to-end experimental pipeline.

Hydraulic manipulator platform developed during my PhD, later extended toward a dual-arm heavy-duty hydraulic robot.

Hands-on debugging vlog from the hydraulic manipulator build, including low-level servo tuning and real-robot integration.

Hydraulic Manipulation and Shared Control

Heavy-duty hydraulic teleoperation platform

Since 2018, I worked on a hydraulic manipulator platform from its early structural design stage through electrical control, low-level servo tuning, kinematics, teleoperation data collection, and shared-control research. The platform later evolved into a dual-arm heavy-duty hydraulic robot deployed at the State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University.

Electrical and control system

Independently designed, selected, integrated, and debugged the electrical control stack for hydraulic actuation.

Hydraulic servo tuning

Tuned low-level PID loops and controller parameters across valves, sensors, and hydraulic modules.

Kinematics and teleoperation

Implemented forward/inverse kinematics and connected the teleoperation data acquisition pipeline.

Shared-control research

Proposed shared control to improve teleoperation efficiency and safety while reducing operator cognitive load.

Unlike modern electric manipulators, which often rely on highly integrated joint modules with built-in sensing, power electronics, communication, and low-level control interfaces, hydraulic manipulators require system-level integration across the entire actuation chain. Sensors, servo valves, hydraulic power supplies, electronic controllers, and servo loops must be co-designed and carefully tuned, making the final robot behavior a result of the coupled dynamics of the whole hydraulic system rather than an encapsulated joint module.

Publications

Full list: Google Scholar.

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