Sharpa

@SharpaRobotics

Sharpa is an AI robotics company dedicated to developing ultra-high performance robots and core components. We Manufacture Time by Making Robots Useful.

United States

sharpa.com

Joined April 2025

199 Following

6,232 Followers

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Sharpa
@SharpaRobotics
Oct 21
SharpaDex v1.0 is live on Hugging Face! 🚀 300h of real-world manipulation: 28,993 demos, 59 tasks, 32.4M frames—collected by our humanoid robot with two Sharpa Wave (W01) hands! Get started with our visual data explorer: 🌐 sharpadex.sharpa.com.cn 🤗 huggingface.co/datasets/Sharp…
Sharpa
@SharpaRobotics
Oct 18
300 hours. 28,993 demonstrations. 59 tasks. Touch on all 10 fingertips, in every frame. We're thrilled to share SharpaDex v1.0 with the robotics community! To our knowledge, SharpaDex is the largest publicly available real-robot dexterous-hand manipulation dataset with
Sharpa
@SharpaRobotics
Oct 21
Round of applause for Embodied Playground pushing the frontier forward with 410 simulated tasks challenging AI agents across physics, strategy, and spatial reasoning. Great work by the team! 🚀
Feng Chen
@Winniechen02
Oct 21
Can an LLM agent play Angry Birds? Introducing Embodied Playground 🤖 410 simulated task environments that test physical, strategic, and spatial reasoning. 🌏 Website: winniechen2002.github.io/Agent-bench-we… 📄 Paper: arxiv.org/abs/2610.27039 💻 Code: github.com/Winniechen2002…
Sharpa
@SharpaRobotics
Oct 20
Congratulations to the Exciting work from @Wei_ZHAN_ and the team on X-Reset! Great to see the Sharpa 22-DoF dexterous hand supporting research that pushes scalable reinforcement learning, cross-embodiment transfer, and sim-to-real dexterous manipulation forward!
Wei ZHAN
@Wei_ZHAN_
Oct 16
Reinforcement Learning (RL) in simulation is a scalable strategy to learn dexterous skills, but naive exploration from scratch often fails to discover manipulation strategies for diverse objects. At @AppliedInt, we propose X-Reset, a straightforward method to resolve the
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Prithwish Dan
@prithwish_dan
Oct 16
Exploration is hard for RL when training high-DoF dex hands ✋ X-Reset makes generalist object-centric RL easier by resetting to human hand-object states 🙋‍♀️ We mitigate the exploration problem, and train a single policy to manipulate a variety of objects to any goal pose 🧵
Sharpa
@SharpaRobotics
Oct 20
Exciting work from @HaozhiQ and @Ying_yyyyyyyy the team on FOMO-Dex with Sharpa gloves serving as the human teleoperation interface for force-aware dexterous manipulation! Great to see Sharpa's hardware supporting research that pushes contact-rich manipulation from better
Haozhi Qi
@HaozhiQ
Oct 15
It's interesting that I have spent quite some time working on sim-to-real for screwdriving, often using it as an example of why finger coordination is too hard to teleoperate and why we need simulation. But is that really the case? We explore whether carefully designed
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Ying Yuan
@Ying_yyyyyyyy
Oct 15
Can we make dexterous robots compliant without sacrificing precise control? Excited to introduce FOMO-Dex: Force-Modulated Dexterity! 🖐️ FOMO-Dex brings force-aware compliance to dexterous teleoperation, enabling robots to pick up thin cards and chips 🃏, cut paper 🔪, turn
Sharpa
@SharpaRobotics
Oct 18
300 hours. 28,993 demonstrations. 59 tasks. Touch on all 10 fingertips, in every frame. We're thrilled to share SharpaDex v1.0 with the robotics community! To our knowledge, SharpaDex is the largest publicly available real-robot dexterous-hand manipulation dataset with
Sharpa-Robotics/SharpaDex-v1.0 · Datasets at Hugging Face
From huggingface.co
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