About

Hi! My name is Jin Wang. I obtained my Ph. D. in Bioengineering and Robotics at Italian Institute of Technology (IIT), advised by Nikos Tsagarakis as part of the Humanoids and Human Centered Mechatronics (HHCM) lab. I am a visiting researcher at the Oxford Robotics Institute, DRS-C lab, working with Ioannis Havoutis. My research interests lie in Humanoids, Embodied AI and Robot learning. More specifically, I’m focusing on autonomous robotic loco-manipulation, integrating robotic foundation models into realworld tasks and improving autonomy through learning.

I am deeply committed to cross-disciplinary teamwork, leveraging engineering mindsets to address real-world challenges. And I’m passionate about novel robotic design and exploring the intelligence and potential value of robots.

Previously, I was a Master student in Robotics at LIRMM CNRS, France. I received my B.A. in Robotics Union Academy Guangdong-HongKong at GDUT.

News 📰

  • [Mar, 2026] 🎉 I am glad to serve as an Associate Editor of IROS 2026.
  • [Feb, 2026] I have defended my PhD thesis!🎉
  • [Jul, 2025] I’m starting a new position as Visiting Researcher at Oxford Robotics Institute, University of Oxford.🧑🏼‍🎓
  • [May, 2025] Our IROS 2025 Workshop proposal Embodied AI and Robotics for Future Scientific Discovery has been accepted!🎉
  • [Nov, 2024] One paper accepted by WCBM Workshop at CoRL 2024. 📃
  • [Oct, 2024] Invited talks by ZHIDX Frontiers of Embodied AI Lecture. 💬
  • [Sep, 2024] HYPERmotion is accepted by CoRL 2024. 🎉
  • [Aug, 2024] One paper accepted by ICRA@40. 📃
  • [Jul, 2024] One paper accepted by IROS 2024 for an oral presentation. ✨
  • [Jul, 2023] Summer school ‘Learning-based MPC’ at ETHz 🚡

Research

RoboAssist: Interactive Human–Humanoid Planning for Long-Horizon Surgical Assistance
Arxiv

webpage | pdf | arXiv | video

Vision-Language-Policy Model for Dynamic Robot Task Planning
Jin Wang, Kim Tien Ly, Jacques Cloete, Nikos Tsagarakis, Ioannis Havoutis
Under review

webpage | pdf | arXiv | code | video

Thinking-with-Memory: Empowering Robots with Transferable Embodied Cognition
Jin Wang, Nikos Tsagarakis
Under Review

video

INTENTION: Inferring Tendencies of Humanoid Robot Motion Through Interactive Intuition and Grounded VLM
Jin Wang, Weijie Wang, Boyuan Deng, Heng Zhang, Rui Dai, Nikos Tsagarakis
International Conference on Humanoid Robots (HUMANOIDS 2025) Oral

webpage | pdf | arXiv | code | video

RoboNurse-VLA: Robotic Scrub Nurse System based on Vision-Language-Action
Shunlei Li, Jin Wang, Rui Dai, Wanyu Ma, Wing Yin Ng, Yingbai Hu, Zheng Li
International Conference on Intelligent Robots and Systems (IROS 2025) Oral

webpage | pdf | arXiv | code | video

Information-Theoretic Graph Fusion with Vision-Language-Action Model for Policy Reasoning and Dual Robotic Control
Shunlei Li, Longsen Gao, Jin Wang, Chang Che, Xi Xiao, Jiuwen Cao, et.a
Information Fusion (To appear)

webpage | pdf | arXiv

Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
Boyuan Deng, Luca Rossini, Jin Wang, Weijie Wang, Nikos Tsagarakis
Under review

webpage | pdf | arXiv | code | video

HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
Jin Wang, Rui Dai, Weijie Wang, Luca Rossini, Francesco Ruscelli, Nikos Tsagarakis
8th Conference on Robot Learning (CoRL 2024)

webpage | pdf | arXiv | code | video

Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model
Jin Wang, Arturo Laurenzi, Nikos Tsagarakis
International Conference on Intelligent Robots and Systems (IROS 2024) Oral

pdf | arXiv | code | video

Grounding Language Models in Autonomous Loco-manipulation Tasks
Jin Wang, Nikos Tsagarakis
International Conference on Robotics and AutomationICRA@40

pdf | arXiv |

Project

AURA-0S: an Agent-based Robot Operating System

We have been developing an Agent-based Robot Operating System to coordinate the invocation of various models (VLA, WAM, VLMs) while prioritizing local deployment and edge-side inference to ensure real-time, reliable humanoid intelligence. aura-os

Visual-Language-Policy Model

I trained a Vision-Language-Policy model to generate and update policies for dynamic robotic task planning. VLP

AURORA: Autonomous Robotic Reactive Adaptation

We empowered robots with the ability to utilize episodic memory to guide their manipulation tasks in new scenario with grounded multi-modal foundation models. AURORA

INTENTION

We enable robots to guide manipulation actions through interactive intuition without requiring verbal commands.