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AGIBOT Unveils Four New Products at WAIC 2026, Showcasing Embodied AI in Real - RobotHOT

AGIBOT Unveils Four New Products at WAIC 2026, Showcasing Embodied AI in Real

AGIBOT, a global leader in embodied AI and robotics, today unveiled four new products at the World Artificial Intelligence Conference 2026 in Shanghai: the AGIBOT A3 Ultra, X2 Edu, G2 Max, OmniHand 3 Ultra-M. Together, the new products expand AGIBOT’s portfolio across full-size humanoid platforms, heavy-payload industrial task robots and direct-drive dexterous manipulation systems. At its 200-square-meter exhibition space at Booth H3-C101 in the Shanghai World Expo Exhibition and Convention Center, AGIBOT is presenting the three new products alongside its manipulation foundation models, industrial deployment cases and live robot demonstrations. Beyond the booth, more than 60 AGIBOT robots are operating across WAIC venues, providing visitor guidance, information services, demonstrations and other forms of on-site support. “The industry should no longer...

Galileo's Full Robot Lineup Shines at WIIF 2026, Tianjin - RobotHOT

Galileo's Full Robot Lineup Shines at WIIF 2026, Tianjin

The 2026 World Intelligence Industry Fair themed “Intelligence Empowers the World, Motion Shapes the Future” grandly opened on May 28.As a benchmark enterprise in embodied intelligence, Galileo (Tianjin) Technology Co., Ltd. set up five innovative exhibition areas and exhibited its full self-developed robot lineup. Its diverse products and cutting-edge technologies wowed attendees and won high recognition from municipal leaders, making it a core highlight in the embodied intelligence track of this fair. Galileo attended five venues at the expo: Tianjin General Exhibition Area, Jinnan Featured Zone, JD Town Real-Scenario Zone, independent brand booth and WIIF Carnival, covering city promotion, regional industry publicity, commercial demonstration, brand display and public entertainment.On-site bionic quadruped robots smoothly executed jumps, climbing and obstacle avoidance. Powered...

PsiBot Co-founder Yuanpei Chen Recognized in Forbes Asia 2025 30 Under 30 - RobotHOT

PsiBot Co-founder Yuanpei Chen Recognized in Forbes Asia 2025 30 Under 30

Recently, Yuanpei Chen, Co-founder and Head of Reinforcement Learning at PsiBot, was named to the Forbes 30 Under 30 Asia 2025 list in the AI category. As one of the few tech entrepreneurs born after 2000 on this year’s list, Chen represents a new generation of innovation and leadership in the field of artificial intelligence. As featured on the official Forbes website: Cofounded by Chen Yuanpei in 2024, Beijing-based PsiBot is developing AI models for robots. The company says its technology can allow multiple robotic arms to make complex movements such as stacking building blocks. Last year, PsiBot raised an undisclosed amount of funding from GL Ventures and Lanchi Ventures. Chen holds a bachelor’s degree in engineering from the South...

The Second Wave of Real VLA: Psi R1 Achieves Generalized Intelligence at the Brain Level! - RobotHOT

The Second Wave of Real VLA: Psi R1 Achieves Generalized Intelligence at the Brain Level!

Psi R1 marks the release of the first reinforcement learning–driven Vision-Language-Action (VLA) model, successfully demonstrating dexterous, long-horizon task execution in an open-ended Mahjong environment. · Millimeter-Level Dexterous Manipulation: PsiBot’s dexterous hand achieves precise coordination across vision, language, and action modalities—executing human-like movements such as flipping, grasping, and organizing tiles with millimeter-level accuracy. · Human-Robot Interaction and Cognitive Decision-Making: The robot must understand Mahjong rules, interpret evolving game states, and dynamically generate strategies for discarding, melds (Pung/Kong), and reactive play—completing a full pipeline from rule interpretation to real-time reasoning and execution. · Reinforcement Learning–Enhanced Long-Horizon Execution: Validated in the Mahjong scenario, Psi R1 maintains a 30-minute+ Chain of Action Thought (CoAT)—breaking traditional limits of robotic task duration and reasoning continuity in...

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