Co-Founder & CEO of @archon_robotics. Ph.D. Student @OpenDriveLab
Shanghai
Joined July 2018
- Tweets47
- Following95
- Followers86
- Likes181
Tianyu Li retweeted
🤖 Building Whole-Body Intelligence for the Real World. Were Just Getting Started.
From bending down to pick up objects and navigating steps to autonomously clearing tables, operating dishwashers, and organizing refrigerators, our robots are learning to perceive, move, manipulate, and coordinate their entire bodies in real-world environments.
Powered by our Whole-Body Intelligence (WBI) framework, were building generalist humanoid foundation models by combining large-scale human whole-body data pretraining, context-aware behavioral foundation models, and efficient post-training with real-robot data - turning human experience into real-world robotic skills.
👉 Watch Whole-Body Intelligence in action in our three-minute demo. More to come. Stay tuned at archon.tech
#ArchonRobotics #WholeBodyIntelligence #WBI #Humanoid #PhysicalAGI
Tianyu Li retweeted
Full episode dropping soon!
Geeking out with @idomihs on EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration opendrivelab.com/EgoHumanoid…
Co-hosted by @micoolcho @DJiafei
Tianyu Li retweeted
Sydney, come sundown. 🌃
OpenDriveLab x @archon_robotics are throwing an afterparty!
TopTalents for Embodied AI, a social mixer at W Sydney, harbour views, golden hour, and the people building the next gen of Embodied Intelligence.
📅 Jul 14 · 7–10PM
📍 W Sydney
🎟️ Apply: luma.com/0ml7kuwb
#RSS2026 #EmbodiedAI #Sydney #WorldModel #FoundationModel – at Sydney, New South Wales
Tianyu Li retweeted
#WorldEngine is one of the most exciting projects in AD in the past years!
It's a post-training framework tackling the scarcity of long-tail safety-critical scenarios by: mining -> 3DGS reconstruction and dynamic agents control w/ behavior world models -> RL post-training.
Introducing #WorldEngine, github.com/OpenDriveLab/Worl…, a two-year long project. The missing infrastructure for Physical AI post-training in Autonomous driving. Open-source. Production-validated.
Tianyu Li retweeted
Introducing #WorldEngine, github.com/OpenDriveLab/Worl…, a two-year long project. The missing infrastructure for Physical AI post-training in Autonomous driving. Open-source. Production-validated.
Tianyu Li retweeted
SimScale is selected as CVPR 2026 Oral 🎉🥳
Code, simulation data, and checkpoints have been fully open-sourced.
📷Home: opendrivelab.com/SimScale/
📷Paper: arxiv.org/abs/2511.23369
📷Github: github.com/OpenDriveLab/SimS…
If you find something useful, please give it a star⭐
1/n 🎉 SimScale: Learning to Drive via Real-World Simulation at Scale
🤖 An innovative real-world simulation pipeline and a real-sim co-training strategy that significantly boost the robustness and generalization of any end-to-end planner.
📈 For the first time, we reveal the scaling effect of simulation data in autonomous driving: with zero extra real-world data, simply scaling up simulation alone can keep improving model performance!
Tianyu Li retweeted
🚀 Introducing SMASH — the world’s first high-dynamic humanoid robot for outdoor table tennis, fully autonomous with onboard perception.
No motion capture needed—SMASH uses only onboard sensors for stable, full-body human–robot interaction in real-world settings.
Embodied intelligence is stepping out of the lab.
🔗mmlab.hk/Smash/
#HumanoidRobots #TableTennis #RobotLearning #SportsTech #AI #OpenDriveLab #Algorithms
Tianyu Li retweeted
Humanoid robots have been prisoners of the lab. We set them free — with human data.
We present EgoHumanoid: The first endorsement of human-to-humanoid transfer for whole-body loco-manipulation.
🔗 Home: opendrivelab.com/EgoHumanoid
📑 Arxiv: arxiv.org/abs/2602.10106
🧵👇
Tianyu Li retweeted
🧐Applying world models to improve real-world policy on challenging manipulation tasks used to be considered out of reach.
😌After sustained effort, we’re now seeing encouraging progress.
🚀Thrilled to introduce RISE: Self-Improving Robot Policy with Compositional World Model
opendrivelab.com/kai0-rl/
arxiv.org/abs/2602.11075
RISE is, to our knowledge, the first work to use a world model as an effective learning environment for challenging real-world manipulation, enabling policy improvement on tasks that demand high dynamics, dexterity, and precision.
Incredible teamwork with @lin_kunyang111 @francislee2020 @YueXiangyu @HaoZhao_AIRSUN @smch_1127
Tianyu Li retweeted
Glad to share me and my folks work of the last research cycle, good luck and have fun. Upvote on HF is appreciated!
χ0: huggingface.co/papers/2602.0…
χ0, a resource-efficient robotic manipulation framework addresses distributional shifts through model arithmetic, stage-aware advantage estimation, and train-deploy alignment to achieve long-horizon task reliability.
RISE: huggingface.co/papers/2602.1…
RISE, the first work to use a world model as an effective learning environment for challenging real-world manipulation, enabling policy improvement on tasks that demand high dynamics, dexterity, and precision.
EgoHumanoid: huggingface.co/papers/2602.1…
EgoHumanoid, the first endorsement of human-to-humanoid transfer for whole-body loco-manipulation.
SparseVideoNav: huggingface.co/papers/2602.0…
Vision-language navigation systems traditionally require detailed instructions but can be improved by incorporating video generation models with sparse future planning for faster, more efficient real-world deployment.
Tianyu Li retweeted
1/n 🎉 SimScale: Learning to Drive via Real-World Simulation at Scale
🤖 An innovative real-world simulation pipeline and a real-sim co-training strategy that significantly boost the robustness and generalization of any end-to-end planner.
📈 For the first time, we reveal the scaling effect of simulation data in autonomous driving: with zero extra real-world data, simply scaling up simulation alone can keep improving model performance!
Tianyu Li retweeted
🚀 #MTGS is now open-sourced!
It manages to leverage multi-traversal data for scene reconstruction with better geometry. We utilize the nuPlan dataset with extensive multi-traversal data.
📷 github.com/OpenDriveLab/MTGS
Tianyu Li retweeted
🚀 #RoboDual is now OpenSource!
We’re thrilled to release the code for RoboDual, one of the earliest dual-system framework for generalizable robotic manipulation that bridges the gap between VLMs’ reasoning and real-time control.
📌 GitHub: github.com/OpenDriveLab/Robo…
🔗 Project Page: opendrivelab.com/RoboDual/
#Robotics #EmbodiedAI #opensource
🧵[1/4]
Co-organized with @vveicao, @MHallgarten0797, Daniel Dauner, and Kashyap Chitta, with data from @motionaldrive.
🧵(3/3)
Your score depends on:
1️⃣ Performance on real frames
2️⃣ Performance on "nearest" imaginary futures to your model's past outputs, making this the *first* challenge testing robustness against causal confusion and compounding errors on real driving data 🚗
🧵(2/3)