Daxo Robotics
Daxo Robotics specializes in ultra-redundant dexterous robotic hands, leveraging an AI-driven autonomous framework. The technology features ultra-high degrees of freedom, enabling complex manipulation tasks beyond traditional robotic constraints. Targeting high-cost, high-mix automation scenarios, Daxo addresses previously unattainable applications in the robotics sector, enhancing operational efficiency and reliability in diverse industrial environments.
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Lingdi Technology Demonstrates Advanced Clothing Simulation at WAIC 2026
At the WAIC 2026, Lingdi Technology showcased a compelling demonstration of robotic arms folding clothes, highlighting the complexities of handling flexible materials. The demonstration illustrated not just the end result of clothing manipulation but emphasized the intricate process of transforming garments into computable digital objects. This involves understanding various fabric properties and how they interact with robotic grippers, which is crucial for real-world applications in households and light industries. The significance of this demonstration lies in addressing the challenges robots face when dealing with flexible, deformable objects. Unlike rigid items, clothing can change shape and state when manipulated, requiring advanced algorithms to adapt to these variations. Lingdi Technology's SynReal World aims to bridge the gap between robotic systems and embodied models by providing a comprehensive data infrastructure for 3D asset generation, simulation training, and automated evaluation, ensuring that models undergo extensive physical interactions in a digital environment before real-world deployment. Looking ahead, the focus on flexible object simulation is critical as robots increasingly enter domestic and industrial settings. The ability to accurately simulate the handling of clothing and other soft materials will be essential for improving efficiency and reducing operational costs. No further timeline was disclosed at the time of publication.
Robotics Fabric Simulation AI Training Automation Soft Robotics
AGIBOT Launches Four New Embodied AI Products at WAIC 2026
AGIBOT unveiled four new embodied AI products at the World Artificial Intelligence Conference (WAIC) 2026, expanding its portfolio with humanoid platforms, industrial robots, and dexterous manipulation systems. The new offerings include the AGIBOT A3 Ultra, G2 Max, and OmniHand 3 Ultra-M, designed to address the challenges of reliable manufacturing and integration in real-world environments. The significance of these launches lies in AGIBOT's commitment to moving beyond mere demonstrations of robotic capabilities. Co-founder Peng Zhihui emphasized the importance of consistent performance in operational settings, highlighting the company's focus on delivering practical value at scale. AGIBOT's recent production milestone of 15,000 robots underscores its rapid growth and ambition in the robotics sector. Looking ahead, AGIBOT aims to further develop its “Three Intelligences in One” architecture, which integrates locomotion, interaction, and manipulation. The company is also set to showcase its products and capabilities at its exhibition space in Shanghai, with a focus on commercial, service, and educational applications. No further timeline was disclosed at the time of publication.
Arms / Manipulators Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision China
Mimic Robotics Launches Mimic Hand M1: A 55-Pound Lifting Robotic Hand with Human-Like Precision
Swiss startup Mimic Robotics has introduced the Mimic Hand M1, a robotic hand capable of lifting over 55 pounds while mimicking human dexterity. This innovative design features a tendon-driven architecture that houses actuators in the forearm, allowing for a compact yet powerful solution for factory automation. The Mimic Hand M1 is significant as it addresses the challenge of general-purpose dexterous manipulation in robotics. By utilizing a human-like hand structure, Mimic Robotics aims to enhance the transfer of skills from human demonstrations to robotic systems, thereby expanding the range of tasks AI can perform in industrial settings. Looking ahead, the focus will be on how the Mimic Hand M1 can be integrated into various manufacturing applications. Its ability to handle both delicate and heavy objects with precision positions it as a versatile tool in the evolving landscape of robotics and automation. No further timeline was disclosed at the time of publication.
AI and Robotics
New Interactive World Simulator Enhances Robot Policy Training and Evaluation
A new Interactive World Simulator has been developed to improve robot policy training and evaluation by replacing traditional methods with a learned, action-conditioned video prediction model. This simulator allows for efficient data generation and scalable policy evaluation, addressing long-standing challenges in robot learning. The significance of this development lies in its ability to reduce the time and costs associated with data collection and evaluation. By enabling demonstrations to be collected within the simulator, the process becomes more reproducible and less prone to the issues faced in real-world settings, such as hardware failures and environmental changes. Looking ahead, the simulator has been trained on diverse manipulation tasks, showcasing its capability to accurately predict robot interactions. No further timeline was disclosed at the time of publication.
AGIBOT Introduces Four Innovative Products at WAIC 2026, Highlighting Embodied AI Applications
AGIBOT has launched four new products at the World Artificial Intelligence Conference 2026 in Shanghai, showcasing advancements in embodied AI. The new offerings include the AGIBOT A3 Ultra, X2 Edu, G2 Max, and OmniHand 3 Ultra-M, which enhance AGIBOT's range of humanoid platforms, industrial task robots, and dexterous manipulation systems. This product unveiling is significant as it demonstrates AGIBOT's commitment to transforming robotic capabilities into practical, repeatable workflows in real-world settings. With over 30 AGIBOT robots currently operational at WAIC venues, the company is making strides in integrating advanced robotics into various applications. Looking ahead, industry observers will be keen to see how these new products perform in live demonstrations and their potential impact on industrial deployments. No further timeline was disclosed at the time of publication.
The Advancements in Dexterous Hands for Robotics and Their Implications
At the 2026 WAIC, a notable shift in robotics was observed as manufacturers increasingly focused on developing dexterous hands. Over the past two years, the industry has seen a surge in the complexity of these hands, with degrees of freedom increasing from six to twelve, sixteen, or even more. The ability of a robotic hand to perform tasks such as solving a Rubik's Cube or threading a needle has become a key benchmark for technological capability. As more dexterous hands demonstrate impressive capabilities, the industry must now address critical questions about their operational continuity, scalability, repairability, and the data they generate to enhance future performance. Companies like Aoyi Technology are expanding their product boundaries beyond mere actuators to include tactile-enabled devices like ROHand and OpenArm, integrating data collection and training tools into a cohesive system. This evolution signifies a shift from merely creating human-like hands to developing hands that can engage in a robotic learning loop. The industry's future hinges on whether these hands will become high-end toys or genuine industrial products, with reliability emerging as a core performance metric alongside flexibility and load capacity.
Dexterous Hands Robotics Technology Industrial Automation Sensor Technology
Yimu Technology Showcases Physical AI's Capabilities at WAIC 2026
At WAIC 2026, Yimu Technology attracted significant attention with its demonstration involving two identical peanuts. The exhibit illustrated the concept that while visual cues may be indistinguishable, tactile feedback reveals critical differences in texture and resilience. This highlights the importance of physical interaction in understanding the physical world. The significance of this demonstration lies in its implications for Physical AI. Traditional robots have struggled to interpret tactile information, often failing in tasks requiring sensitivity, such as handling fragile items. Yimu Technology emphasizes that the key to advancing robotics is not merely increasing model size but ensuring robots receive accurate physical feedback from their environment. Looking ahead, the focus will be on how effectively robots can integrate this tactile feedback into their operations. Yimu Technology's approach, which utilizes optical systems to measure minute deformations, could revolutionize how robots interact with their surroundings. No further timeline was disclosed at the time of publication.
Physical AI Tactile Sensors Robotics Machine Learning
mimic Robotics Launches Comprehensive Platform for Advanced Dexterous Robot Manipulation
mimic Robotics has unveiled a new robotic hand, the mimic hand M1, along with the mimic wearable U1 exoskeleton and a proprietary software platform. This integrated system aims to enhance general-purpose dexterous manipulation in industrial robots by addressing the challenge of collecting high-quality training data for AI models that perform human-like tasks. The significance of this launch lies in mimic Robotics' approach to design, which focuses on human hand morphology rather than traditional two-finger grippers. The mimic hand M1 features 15 actuated degrees of freedom and is capable of handling payloads over 25 kg, while the mimic wearable U1 allows human operators to demonstrate tasks in real-time, improving data collection for AI training. Looking ahead, the company’s innovative middleware and teleoperation software are expected to enhance robot control and AI inference speed. No further timeline was disclosed at the time of publication.
Components Computing News ai automation dexterous manipulation
RoboScience Unveils First Cloud-Based Large Model for Robotics at WAIC
At the WAIC, RoboScience showcased a groundbreaking cloud-based embodied large model named Visics, capable of controlling multiple robotic hands. This innovation allows for seamless switching between different robotic hands while maintaining operational efficiency, demonstrating the ability to recognize and grasp various objects autonomously within 30 seconds. The significance of this development lies in its potential to revolutionize robotic operations across diverse applications. By enabling a single model to adapt to various hand configurations, Visics enhances the versatility of robotic systems, allowing them to perform complex tasks without the need for extensive retraining when hardware changes occur. Looking ahead, the industry will be keen to observe how Visics performs in real-world scenarios and its ability to execute long-term tasks by integrating multiple actions. No further timeline was disclosed at the time of publication.
Robotics Cloud Computing AI Automation Object Recognition
Six Robots Assemble a 3.5-Meter Great Wall Model Using 81,920 Blocks at WAIC
At the World Artificial Intelligence Conference (WAIC), six robots from General Embodied Intelligence Company, Yuanli Lingji, undertook a challenging task to assemble a Great Wall model using 81,920 micro building blocks over 15 hours. Each robot was required to complete approximately 910 assembly actions per hour, achieving a speed comparable to skilled human workers. This demonstration highlights the complexities of robotic assembly, as traditional industrial robots operate under fixed conditions, while block assembly requires real-time perception and adaptability to varying positions and angles. The robots needed to maintain sub-millimeter precision throughout the task, pushing the limits of robotic capabilities and mimicking human dexterity. The execution team consisted of four desktop robots and two humanoid wheeled robots, each equipped with independent perception, decision-making, and execution abilities. The challenge tested multi-agent collaboration in a dynamic environment, emphasizing the need for real-time negotiation and coordination among robots to adapt to unforeseen circumstances during the assembly process. No further timeline was disclosed at the time of publication.
Robotic Assembly AI Technology Collaborative Robotics Precision Engineering
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