Technology Collaborative is a US nonprofit organization focused on technology education and workforce development. Connects businesses, educators, and government to advance applied technology skills including automation and robotics training.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
This week in robotics: Hyundai takes full ownership of Boston Dynamics, Xpeng targets 1,000 Iron humanoids a month, LimX Dynamics raises $200M pre-IPO, and Agility opens a Silicon Valley physical-AI hub. July 13–17, 2026.
On July 15, Ofo, the bike-sharing company, unexpectedly updated its official WeChat account after nearly five years of silence. The post was a recruitment notice for patients with skin diseases, unrelated to its bike-sharing business, yet it sparked significant public interest regarding unrefunded deposits. Many users expressed their concerns, asking when their deposits would be returned. Despite widespread belief that Ofo had ceased operations, records indicate that its associated operational entity, Beijing Baike Lock Technology Co., Ltd., remains active. However, the company faces high-risk information, including numerous legal cases and enforcement actions, which raises questions about its future viability. As Ofo navigates this uncertain landscape, stakeholders should monitor any developments regarding its operational status and the potential for deposit refunds. No further timeline was disclosed at the time of publication.
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 manipulationWarehouse automation is evolving from a mere operational efficiency tool to a strategic priority for organizations, driven by ongoing labor shortages and rising fulfillment expectations. Inteq, a UK-based warehouse automation specialist, emphasizes the importance of integrating robotics and software to create flexible, hardware-agnostic solutions that adapt to changing operational needs. Jon Roberts, sales director at Inteq, highlights that software, particularly Warehouse Execution Systems, is now the critical component of successful automation projects. These systems serve as the central hub connecting robotics, equipment, and personnel, enabling more efficient operations. The shift towards software-first strategies reflects a broader trend where businesses recognize the risks of inaction in the face of increasing competition and complexity in supply chains. Looking ahead, companies investing in integrated automation platforms are likely to gain a competitive edge in logistics and fulfillment. The conversation also touches on the growing role of AI in predictive operations and the transition of autonomous mobile robots into essential warehouse infrastructure, supported by innovative commercial models like Robotics-as-a-Service. No further timeline was disclosed at the time of publication.
Features Logistics Supply chain Warehouse robots amrs artificial intelligencePanasonic Connect is at the forefront of transforming manufacturing systems as electronics become smaller and more complex. The company offers smart manufacturing solutions that integrate surface-mount technology (SMT), robotics, AI analytics, and connected factory platforms. Through its Gemba Process Innovation strategy, Panasonic Connect aims to enhance productivity and operational resilience in factories. The increasing complexity of electronics, particularly in vehicles and industrial systems, is reshaping production line design and operations. Scott Zerkle, associate director of technical operations at Panasonic Connect North America, emphasizes that AI's primary value lies in supporting factory workers through predictive maintenance and defect detection, rather than replacing them. He highlights the need for manufacturers to connect data across various production elements to foster continuous improvement. Looking ahead, Zerkle predicts that the next significant advancement in smart manufacturing will involve integrating AI tools with data from machines and materials. This integration will enable factories to learn from their production history, ultimately enhancing efficiency and adaptability in high-mix production environments. No further timeline was disclosed at the time of publication.
Communications Computing Digital Automation Features Manufacturing aiAetina, a specialist in edge AI computing, is set to enhance its offerings by adding support for the newly unveiled Nvidia Jetson T3000 and T2000 modules. These modules are designed for robotics and industrial edge AI applications, and Aetina plans to integrate them into its DeviceEdge AIE-KT and AIE-PT systems, providing scalable and efficient AI computing solutions. This expansion is significant as it allows Aetina to leverage Nvidia's advanced AI capabilities, including the ability to run generative AI models with low latency, which is crucial for applications like humanoid robots. The Nvidia Jetson T3000 module boasts up to 865 FP4 TFLOPS, while the T2000 offers up to 400 FP4 TFLOPS, catering to a range of robotics applications from visual AI agents to autonomous mobile robots. Looking ahead, Aetina is among the first partners to support these new modules, with Nvidia expecting them to be available in the first quarter of 2027. The company plans to provide further details on system specifications and developer support as the launch date approaches, making it a key player in the evolving landscape of AI-driven robotics solutions.
Computing Industry Aetina automation Autonomous robots DeviceEdge AIE-KTAt 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 RecognitionAt the WAIC exhibition, the Gino 1 humanoid robot from Geek+ stood out by combining generalization capabilities with operational efficiency in real-world tasks. Unlike other robots that either excelled in speed or adaptability, Gino 1 demonstrated its ability to perform end-to-end workflows, including precise item picking and collaborative operations with mobile robots. The significance of Gino 1 lies in its advanced full-body parallel control, which reduces task completion time by approximately 30%. This innovative approach allows simultaneous movement and manipulation, resulting in smooth and stable operations without interruptions. The robot's integration with Geek+'s AI scheduling system enhances its efficiency across entire workflows rather than focusing on individual machine performance. Looking ahead, Gino 1's ability to adapt to various physical conditions and its dynamic response to unexpected challenges highlight its potential in real-world applications. As it continues to learn from each task, Gino 1 exemplifies the concept of self-evolution, making it a noteworthy development in the field of intelligent robotics. No further timeline was disclosed at the time of publication.
Humanoid Robots AI Warehouse Automation Robotics TechnologyAGIBOT unveiled four new products at the WAIC 2026, including the AGIBOT A3 Ultra and G2 Max, which emphasize the company's advancements in embodied AI and robotics. The showcase featured over 30 robots demonstrating their capabilities in various applications, reinforcing AGIBOT's commitment to integrating robotic systems into real-world workflows. This event is significant as it illustrates AGIBOT's dedication to enhancing robotics for commercial and industrial environments, showcasing how embodied AI can improve operational efficiency. The introduction of these products reflects the growing trend of utilizing advanced robotics to address practical challenges in various sectors. Looking ahead, industry observers should monitor AGIBOT's future developments and product deployments, as the company continues to push the boundaries of robotics and AI integration. No further timeline was disclosed at the time of publication.
Robotics Embodied AI Industrial Automation Technology Artificial IntelligenceOn July 17, 2026, the World Artificial Intelligence Conference (WAIC) commenced in Shanghai, focusing on the theme 'Intelligent Partners, Co-Creating the Future.' Dahuang Technology presented its AI multimodal capabilities, showcasing a comprehensive system that includes understanding, connecting, interacting, and controlling complex data. The demonstration highlighted the company's transition from video-centric solutions to a broader AI multimodal framework. Dahuang Technology's Sports AI system, based on the BlackEye multimodal spatial model, was a key feature, providing real-time analysis of sports events. This system can automatically label players, track movements, and generate slow-motion replays, demonstrating the AI's ability to comprehend complex video scenarios. The technology has already been validated in high-profile events like the 2026 World Cup and the Paris Olympics. The company also introduced its AI multimodal perception compression technology, achieving over tenfold compression efficiency while maintaining video quality. This capability is crucial for applications in drone inspections, remote communications, and robotic operations, addressing the growing demands for bandwidth and data transmission efficiency in various sectors. No further timeline was disclosed at the time of publication.
AI Multimodal Technology Video AI Data Compression Sports AI Human-AI InteractionAt 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 EngineeringPiaggio Fast Forward showcases kilo®, an infrastructure-free collaborative AMR (300 lb payload, 360° LiDAR), at Automate 2026 booth #17054.
A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
RobotToday interviews A3 President Jeff Burnstein post-Automate 2026 on sector diversification, China’s 10x robot installation lead, a proposed U.S. national robotics strategy, and global cooperation through the IFR.
Vention reveals AI-powered platform partnerships with FANUC America and Teradyne Robotics at Automate 2026, enabling software-defined automation across collaborative and industrial robot deployments.
Doosan Robotics unveils PalletizHD+ at Automate 2026 — an AI-powered palletizing solution with PalletizOS, SwiftMove technology, and up to 11 boxes per minute throughput for smarter factory automation.
Taiwan Excellence Pavilion brings 23 certified companies to Automate 2026 in Chicago (June 22–25), showcasing edge AI, collaborative robots, precision motion and industrial computing solutions for U.S. smart manufacturing.
As warehouses deploy robots from multiple vendors, interoperability becomes critical. Learn how robotics orchestration platforms like Roboteon enable seamless multi-vendor AMR integration, fleet management, and plug-and-play automation for distribution centers.
Comprehensive analysis of Vietnam's robotics industry: market size, industrial policy, key companies (Vingroup, Apicoo, Phenikaa-X), geopolitical dynamics, and 2030 growth opportunities.
IMTS 2026 — the 36th edition of the International Manufacturing Technology Show — returns to McCormick Place, Chicago, September 14–19. 2,000+ exhibitors, 114,000 attendees, covering industrial robots, AI manufacturing, CNC, and automation.
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