Portrait of Jingbo Wang

Jingbo Wang 王靖博

Embodied AI · Humanoid Robotics · Character Animation

Senior Research Scientist at NVIDIA GEAR LAB

LinkedIn Google Scholar Gmail Gmail
10,000+ Citations WAIC 2025 Rising Star PhD · CUHK
Profile

About

I build generalizable humanoid intelligence through physics-based simulation, embodied learning, and sim-to-real transfer.

I am a Senior Research Scientist at NVIDIA GEAR LAB, previously a research scientist and team lead at Galbot (银河通用) and Shanghai AI Lab. I received my PhD from The Chinese University of Hong Kong in 2023, advised by Prof. Dahua Lin.

My work has appeared at CVPR, ICML, ICCV, ECCV, SIGGRAPH, NeurIPS, and ICRA. I received the WAIC 2025 Rising Star Award and won the COCO 2018 Panoptic Segmentation Challenge.

Humanoid Robotics Embodied AI Physics Simulation Sim-to-Real
Selected Work

Recent Research Topics

Humanoid control, locomotion, athletic skills, and character animation systems.

01

Behavior Foundation Model

Universal whole-body controllers and teleoperation.

Behavior Foundation Model teaser
Behavior Foundation Model for Humanoid Robots ICRA 2026
Universal Whole Body Controller with User Friendly Interface
PDF Project Page
AdaMimic teaser
AdaMimic: Towards Adaptable Humanoid Control via Adaptive Motion Tracking ICRA 2026
Adaptive Motion Tracking for Humanoid Robots
PDF Code Project Page
UniTracker teaser
UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots RAL 2026
Universal Whole Body Controller with Kinematics Motion Priors
PDF Project Page
02

Agile Skill Learning

Sports-grade agility learned from human demonstrations.

HumanX teaser
HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos CoRL 2026
Imitation Learning on Basketball Skills
PDF Code Project Page
LATENT teaser
Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data IROS 2026
Automatic Tennis Skills
PDF Code Project Page
Smash teaser
SMASH: Mastering Scalable Whole-Body Skills for Humanoid Ping-Pong with Egocentric Vision TRO 2026
Table Tennis Skills in Egocentric Vision
PDF Project Page
RoboStriker teaser
RoboStriker: Hierarchical Decision-Making for Autonomous Humanoid Boxing Under Review
Multi-Agent Boxing Skills
PDF Project Page
Humanoid Goalkeeper teaser
Humanoid Goalkeeper: Learning from Position Conditioned Task-Motion Constraints RAL
Agile Goalkeeping Skills
PDF Code Project Page
03

Locomotion / Loco-Manipulation

Navigation and interaction policies for constrained terrains.

Gallant teaser
Gallant: Voxel Grid-based Humanoid Locomotion and Local-Navigation Across 3D Constrained Terrains CVPR 2026 · Highlight
Perceptive Locomotion Controller for Diverse Terrains
PDF Code Project Page
PhysHSI teaser
PhysHSI: Towards a Real-World Generalizable Humanoid-Scene Interaction System Under Review
Human Like Loco-Manipulation Policy
PDF Project Page
XHUGWBC teaser
XHUGWBC: Scalable and General Whole-Body Control for Cross-Humanoid Locomotion ICML 2026
Unified Cross-Humanoid Locomotion and Loco-Manipulation Controller
PDF
04

Character Animation

Large-scale motion synthesis and human-scene interaction.

TokenHSI teaser
TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization CVPR 2025 · Oral
Foundation Controller for Human-Scene Interaction
PDF Code Project Page
MotionMillion teaser
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data ICCV 2025 · Spotlight
Scaled Text-to-Motion Generation Model with Million-scale Data
PDF Code Project Page
AMDM teaser
AMDM: Interactive Character Control with Auto-Regressive Motion Diffusion Models ACM SIGGRAPH 2025 (TOG)
Control Auto-Regressive Motion Diffusion Models with Reinforcement Learning
PDF Code Project Page
AMDM teaser
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics Neurips 2024 · Spotlight
Multi-Agent Cooperative Human-Object Interaction
PDF Code Project Page
UniHSI teaser
UniHSI: Unified Human-Scene Interaction via Prompted Chain-of-Contacts ICLR 2024 · Spotlight
Character Learning with LLMs
PDF Code Project Page
Career

Experience

Research roles across embodied AI, simulation, and robotics systems.

05

Research Career

Full-time and internship positions at leading labs.

Current
Senior Research Scientist
NVIDIA GEAR LAB
2026 – Present
Santa Clara
Full-time
Research Scientist & Team Lead
Galbot (银河通用)
Apr 2026 – Sep 2026
Beijing, China
Full-time
Research Scientist and Team Lead
Shanghai AI Lab
Sep 2023 – Apr 2026
Shanghai, China
Intern
Research Scientist Intern
NVIDIA (Omniverse)
Apr 2022 – Jun 2023
Toronto, Canada
RA
Research Assistant
SenseTime Research
Dec 2019 – Mar 2022
Hong Kong
RA
Research Assistant
CUHK
Aug 2019 – Jul 2020
Hong Kong
Intern
Research Scientist Intern
Momenta
Mar 2019 – Aug 2019
Beijing, China
Intern
Research Scientist Intern
Megvii Research
Mar 2017 – Mar 2019
Beijing, China
Training

Education

Academic background in digital humans, intelligence science, and information science.

06

Academic Background

Degrees from top institutions in China and Hong Kong.

PhD
PhD in Digital Human
The Chinese University of Hong Kong
2020 – 2023
Advised by Prof. Dahua Lin
MPhil
MPhil in Intelligence Science
Peking University
2016 – 2019
BSc
BSc in Information Science
Beijing Institute of Technology
2012 – 2016