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π I'm the Chair of Research Committee at the China National and Local co-built Innovation Center of Embodied AI Robotics. (I'm looking forward to collaborating on exciting projects in this field!) Previously, I participated in 'Tianhe 倩河' supercomputing projects in China and also had a very pleasant working experience at DJI.
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π Iβm currently working on Humanoid Robots:
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ποΈ News
- 2025-04-24: Co-hosted a seminar on embodied intelligent robots in cooperation with Peking University.
- 2025-04-19: The Tiangong humanoid robot etched its name in history! It successfully completed a half - marathon!
- 2025-04-10: Interviewed by the "Innovation China" column of the China Association for Science and Technology.
- 2025-03-29: Invited talk at CEAI 2025.
- 2025-03-06: I have been invited to join the CNR Finance Jin Ding Think Tank.
- 2025-01-08: Participated in the design of the long - term planning and technical roadmap for robots in Beijing City.
- 2024-12-30: Invited by the National Health Commission, I participated in the review of the artificial intelligence medical project as an expert reviewer.
- 2024-11-25: Interviewed by the Global Times. Advancements in AI for football and robot marathons
- 2024-11-16: Invited to attend the AGIROS Open Source Community Conference at the Institute of Software, Chinese Academy of Sciences, and delivered a keynote speech on 'Embodied Intelligence of Humanoid Robots'.
- 2024-11-9: Join the Intel China Academic Talent Program and delivered a keynote speech on "Research on Embodied AI of Humanoid Robots".
- 2024-11-5: Invited to attend the BAAI "ZhiYuan Forum - Embodiment and World Model Summit".
- 2024-9-30: Give a talk at the School of Computer Science, Peking University, on Multimodal Perception and Large Model Decision-Making for Humanoid Robots.
- 2024-7-29: Interviewed by Mango (Hunan) TV on the topic of "Embodied AI and Humanoid Robots Tian Gong".
- 2024-7-5: Invited by the China Internet Research Institute to draft a white paper on embodied intelligence in the industrial internet, presenting a report on the integration and innovation of new industrial networks and humanoid robot embodied intelligence technology.
- 2024-7-1: Invited to give a talk in XMech at Zhejiang University.
- 2024-5-29: Interviewed by the Beijing Association for Science and Technology.
- 2024-5-9: The humanoid robot platform 'TianGong' is continuously being iterated and developed.
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π Iβm currently learning Embodied AI, RL, Vision Perception, LLM, Control&Plan in Robotics. Here are some papers I've published recently :
Title | Link |
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RoboOcc: Enhancing the Geometric and Semantic Scene Understanding for Robots | Link |
The Meta-Representation Hypothesis | Link |
EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks | Link |
HumanoidPano: Hybrid Spherical Panoramic-LiDAR Cross-Modal Perception for Humanoid Robots | Link |
LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures | Link |
Trinity: A Modular Humanoid Robot AI System | Link |
Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion | Link |
NeuGPT: Unified multi-modal Neural GPT | Link |
Recursive Cleaning for Large-scale Protein Data via Multimodal Learning | Link |
Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models | Link |
Query-based Semantic Gaussian Field for Scene Representation in Reinforcement Learning | Link |
Mamba as Decision Maker : Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning | Link |
MAD: Multi-Alignment MEG-to-Text Decoding | Link |
NeuSpeech: Decode Neural signal as Speech | Link |
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models | Link |
E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework | Link |
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models | Link |
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning | Link |
MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation | Link |
Conference/Journal | Title | Link |
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IROS 2024 | Whole-body Humanoid Robot Locomotion with Human Reference | Link |
ICML 2025 | Simple Policy Optimization | Link |
Generative Models for Robot Learning Workshop @ ICLR2025 | Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition | Link |
RSS 2025 | RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation | Link |
ICME 2025 | ES-Parkour: Advanced Robot Parkour with Bio-inspired Event Camera and Spiking Neural Network | Link |
CVPR 2025 | Uncovering Vision Modality Threats in Image-to-Image Tasks | Link |
ICRA 2025 | Multi-Floor Zero-Shot Object Navigation Policy | Link |
ICASSP 2025 | Fully spiking neural network for legged robots | Link |
ICASSP 2025 | Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras | Link |
NeurIPS 2024 | DEL: Discrete Element Learner for Learning 3D Dynamics from 2D Observations | Link |
IEEE Transactions on Artificial Intelligence | Spiking Diffusion Models | Link |
NeurIPS 2024 | Spiking Neural Network as Adaptive Event Stream Slicer | Link |
ICRA 2024 | Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs | Link |
ICRA 2024 | Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning | Link |
IROS 2024 | Reinforcement Learning with Generalizable Gaussian Splatting | Link |
IROS 2024 | TriHelper: Zero-Shot Object Navigation with Dynamic Assistance | Link |
WACV 2024 | Spiking Denoising Diffusion Probabilistic Models | Link |
ICCV 2023 | Masked Spiking Transformer | Link |
CoRL 2022 | RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments | Link |
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π― I have hidden some of my previous work, welcome to chat. I am currently preparing my personal website and more, and Iβm looking to collaborate on Humanoid Robots, Embodied AI, RL, Vision Perception, LLM, Control & Planning in Robotics
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π« How to reach me jony.zhang@x-humanoid.com | zituka@foxmail.com | qzhang749@connect.hkust-gz.edu.cn