Embodied AI
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Interview with Shanghai Jiao Tong University’s Yang Lixin: Why Robots Need a '3D Timeline'
Shanghai Jiao Tong University assistant researcher Yang Lixin discusses how LaMP, ChronoFlow-Policy, and Track4Action integrate 3D point flow to give robots spatial awareness, temporal memory, and understanding of environmental changes.
Focus on Smart Vehicles, Embodied AI, and Low-Altitude Economy | 2026 Aggregated Intelligence Industry Development Conference to be Held in Optics Valley
The 2026 Aggregated Intelligence Industry Development Conference will take place in Optics Valley on September 8-9, focusing on the synergy of smart vehicles, embodied AI, and low-altitude economy.
Exclusive Visit to a Halted Robot Data Collection Site: Is Embodied AI Recalculating the Data Equation?
A Beijing humanoid robot data training center has ceased operations, highlighting that while embodied AI still lacks data, the industry needs high-quality, large-scale, diverse data infrastructure rather than just more robots.
4.5 Billion RMB in Funding, One Hand, and an Ice Cream Shop
Sharpa, backed by 4.5 billion RMB in funding, deploys its North robot at a DQ store. Founder Li Yifan argues that true embodied AI requires completing full workflows, not just performing isolated dexterous tasks.
Becoming a Top-Three National Player in Months, Lingxi Zhiyong Brings ROSS Harness to the Industrial Arena
Lingxi Zhiyong's robot achieved 160 points and ranked among the top three at the World Humanoid Robot Games. The company attributes this success to its self-developed ROSS Harness Agent, which bridges AI models and hardware execution.
Xinghai Tu's Zhao Xing: The Next Scaling of Robots Will Not Only Occur in Pre-training
At the 2026 WRC Forum, Xinghai Tu Chief Scientist Zhao Xing argues that Embodied AI's next scaling depends not just on pre-training data and models, but on continuous learning from real-world operations through post-training and true-machine reinforcement learning.
Why Did Zhiyuan Suddenly Become the 'Medal Harvesting Machine' of the Robot Games?
At the 2nd World Humanoid Robot Games, Zhiyuan Robotics won 18 gold, 16 silver, and 12 bronze medals, ranking first in both gold and total medal counts. This success highlights its dual strengths in embodied AI motion control and commercial deployment capabilities.
Exclusive Interview with Zhou Shunbo: We Can Build a Robot People Love, Even Without AGI
Zhou Shunbo, founder of Euler Universe, discusses his journey from Huawei to creating a wheeled home robot. He argues that data is the first principle of embodied AI and believes that high-value, non-AGI-dependent robots can succeed in family scenarios.
Behind ACE-Data-0: A Conversation with Daxiao Robotics on the Next Step for Embodied Data
Daxiao Robotics and NUS S-Lab released ACE-Data-0, an L5 multimodal embodied dataset. We discuss how high-density, physically grounded data is shifting the industry bottleneck from model architecture to physical supervision.
Beyond the Model: Ego2Robot Brings Data Processing Pipelines Back to the Spotlight
Ego2Robot demonstrates that scalable robot data synthesis from egocentric human video relies less on model architecture and more on rigorous data governance, including action alignment, visual alignment, and multi-level quality filtering.
Shanghai Jiao Tong University's Lu Cuwu, Zhejiang University teams propose Track4Action: Distilling the '3D World After Action' into VLA
A new approach by Shanghai Jiao Tong University and Zhejiang University integrates 3D world tracking knowledge into Vision-Language-Action models to help robots understand how their actions change the physical environment.
Three Major Embodied AI Works from China, US, and Korea: Connecting the Present and Future of Robot Agents
Recent reports from Anthropic highlight the race to make LLMs and VLMs the brains of robots. Three new papers from Meta/NUS/University of Washington, Sungkyunkwan University, and Tsinghua/Purdue propose different frameworks to bridge the gap between frozen models and reliable robotic agents.