ScoutDI develops explosion-proof indoor inspection drones with live HD video streaming, 3D asset modeling, integrated lighting, and sensor payloads for confined space industrial inspections and reporting.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Contactile has developed tactile sensors for robotic hands and grippers that enhance world models in robotics. These sensors address the limitations of current conditioning methods, which primarily rely on visual inputs and joint encoders, by incorporating friction as a critical input. This advancement is essential for improving robots' ability to generalize across various surfaces and objects. The significance of this development lies in its potential to transform robot learning. By making friction a first-class input, robots can better predict the outcomes of their actions and adapt to novel tasks without extensive memorization. This shift could lead to more capable robotic systems that can operate effectively in contact-rich environments, where traditional conditioning methods fall short. Looking ahead, the integration of Contactile's tactile sensors into robotic systems could revolutionize how robots interact with their environments. As the field of robot learning continues to evolve, the emphasis on accurate conditioning will be crucial for deploying effective world models. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Assembly Design / Development End Effectors / Grippers GrippersAt WAIC 2026, Tencent's Chief Scientist Zhang Zhengyou questioned the intelligence of AI that can reason but lacks understanding of the physical world, referring to it as a 'brain in a jar.' He emphasized that true intelligence integrates language, vision, spatial awareness, body control, and environmental feedback in a closed-loop system. Tencent unveiled several models, including Hy-Embodied-VLM-1.0, which interprets images and scenes with significantly reduced computational demands. The Hy-Embodied-RxBrain-1.0 combines text reasoning with visual imagination for continuous cognitive processing, while Hy-Embodied-VLA-0.5 translates high-level goals into actionable steps for various robot forms. These innovations are supported by extensive training data and are already being implemented in real-world applications. The company is also upgrading its Tairos platform for a more open-source approach, facilitating easier development from models to applications. Tencent's Robotics X Lab is collaborating with multiple robotics companies and partners to transition these technologies from theoretical concepts to practical implementations in diverse environments.
Robotics Artificial Intelligence Cognitive Systems AutomationAt the World Artificial Intelligence Conference (WAIC), a notable trend emerged in the robotics sector, with an increasing number of VLA models attempting to enable robots to execute longer task chains. A significant challenge has been the fundamental conflict between 'contextual memory' and 'real-time inference costs' in VLA models, which has hindered the completion of long-range tasks. During WAIC, Mianbi Intelligence introduced and open-sourced its first series of embodied intelligence results, the MiniCPM-Robot, which includes the general VLA model MiniCPM-RobotManip and the tracking navigation model MiniCPM-RobotTrack. This model, with only 1.3 billion parameters, successfully completed long-range tasks like making sandwiches and achieved a significant lead over well-known models in the RMBench leaderboard, showcasing its advanced contextual memory capabilities. The release of MiniCPM-Robot signifies Mianbi Intelligence's transition of its accumulated multimodal technology from the digital realm to the physical world. The MiniCPM-Robot series addresses a structural shortcoming in current embodied intelligence, allowing for efficient visual token compression that enhances real-time inference speed while retaining memory, thus overcoming a long-standing dilemma in VLA model development.
Robotics AI Models Task Execution Memory RetentionAt the 2026 World Artificial Intelligence Conference, Tianshan Technology showcased its groundbreaking dynamic haptic perception chip, the Green Gem E10A, along with the TS-ECHO haptic sensing glove and the TS-V visual-tactile fusion light module testing workstation. This marks a shift in focus from robotic movement capabilities to enhancing robots' tactile precision and stability. The significance of these innovations lies in the growing necessity for robots to possess tactile perception, which is becoming a critical industrial metric. The Green Gem E10A chip offers low-latency, low-power signal processing, enabling large-scale sensor deployment. The TS-ECHO glove establishes standards for haptic data collection, while the testing workstation validates technical solutions in real-world scenarios, creating a feedback loop for continuous system improvement. Looking ahead, the integration of extensive sensor networks across humanoid robots is essential for full-body tactile coverage. The Green Gem E10A chip's innovative design reduces latency and power consumption, enhancing safety and performance. As the industry moves towards a more tactile-aware robotic future, the ability to understand physical interactions through haptic data will be crucial for advancing robotic capabilities.
Haptic Technology Robotics Sensor Solutions AI Industrial AutomationRecent advancements in monocular visual simultaneous localization and mapping (SLAM) have been applied to underwater bionic robotic fish. This approach integrates image enhancement techniques with deep feature matching to improve the robustness of navigation and mapping in aquatic environments. The significance of this development lies in its potential to enhance the operational capabilities of underwater robotic systems. By leveraging advanced image processing and machine learning techniques, the integration aims to address challenges faced in underwater navigation, such as low visibility and dynamic environments. Looking ahead, further research and testing will be crucial to refine these techniques and ensure their effectiveness in real-world underwater applications. No further timeline was disclosed at the time of publication.
RESEARCH ARTICLEGuangjian Technology has launched a new intelligent visual perception solution aimed at enhancing physical AI capabilities. This solution leverages AI binocular vision technology, integrating intelligent perception algorithms and efficient computing architectures to provide robots with essential visual capabilities for environment perception, spatial understanding, navigation, and precise operations. The significance of this development lies in the increasing complexity of real-world environments, which demand higher accuracy in depth perception. Traditional stereo matching methods often struggle with challenging scenarios, leading to depth loss and noise that can hinder a robot's ability to navigate and perform tasks effectively. Guangjian's solution addresses these challenges by offering a robust visual perception system that supports various tasks, including SLAM positioning and target detection. Looking ahead, the competition in robotic visual perception will focus on balancing perception quality, system collaboration, and computational efficiency. Guangjian Technology's innovative approach aims to provide a unified visual capability that not only enhances depth perception but also supports the continuous evolution of embodied intelligence in real-world applications. No further timeline was disclosed at the time of publication.
Embodied AI Visual Perception Robotics AI TechnologyOn July 17, 2026, the World Artificial Intelligence Conference (WAIC) commenced in Shanghai, where ChipMing unveiled its series of 3D vision AI modules designed for embodied intelligence and physical AI scenarios. The modules demonstrated core functionalities such as pose estimation and instance segmentation using the self-developed spatial intelligent chip running YOLO26, alongside a 3D virtual safety zone application that integrates depth perception and AI recognition technologies. The significance of these modules lies in their ability to operate reliably in industrial environments, with a temperature range of -10℃ to 50℃. They support USB 3.0 and GMSL 2.0 protocols, ensuring high bandwidth and long-distance transmission capabilities. The built-in spatial intelligent chip allows for local processing of data, enhancing privacy and reliability by keeping sensitive information on-device, which is crucial for applications in security, healthcare, and industrial quality inspection. Looking ahead, the 3D virtual safety zone demo showcased at WAIC attracted considerable attention, highlighting the modules' capabilities in object classification and selective alarm systems. Users can choose from various module models based on specific use cases, ensuring ease of installation and strong feasibility for engineering applications. No further timeline was disclosed at the time of publication.
3D Vision AI Embodied Intelligence Industrial Automation AI TechnologyAt 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 LearningOn 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 InteractionWeRide has introduced WITT, a groundbreaking physical AI foundation model designed to enhance multimodal scene understanding. This model utilizes minimal physical fact units, which are crucial for applications in autonomous driving and robotics. The launch of WITT is significant as it aims to streamline the integration of various data types, improving the efficiency and effectiveness of AI systems in interpreting complex environments. This advancement could lead to more reliable autonomous systems that can better navigate real-world scenarios. Looking ahead, the implications of WITT's capabilities in the fields of autonomous driving and robotics will be closely monitored. No further timeline was disclosed at the time of publication.
TechnologyDemolition and hazardous-work robots are construction automation's fastest-growing safety segment. This analysis covers Brokk SmartPower+, Husqvarna DXR, AI-guided asbestos removal, confined-space inspection drones, and regional adoption across Japan, the EU, and South Korea — with market sizing, technology assessment, and a 2030 outlook.
RobotToday's weekly industry briefing for March 21–28, 2026 covers Physical Intelligence's $1B raise, Amazon's Fauna Robotics acquisition, Agile Robots' DeepMind partnership, the launch of Europe's first robotaxi service, DJI's Avata 360 drone, Skydio's $52M Army order, and the latest in humanoid, AMR, and drone technology.
The global counter-drone (C-UAS) sector is scaling fast. New EU and US factories, an ․87M US Army contract, and the 2026 FIFA World Cup deployment mark a turning point for autonomous anti-drone technology. Read RobotToday’s March 2026 briefing.
Amazon acquires Rivr (fmr. Swiss-Mile), an ETH Zurich spinout, to scale wheel-legged robots for doorstep delivery — marking a turning point for hybrid mobility robotics.
An evidence-based deep dive into the crop monitoring and aerial scouting segment of agricultural robotics. Covers the market opportunity (ex-China) across North America, EU, Japan, and Israel; key players including Taranis, BASF xarvio, and DJI; emerging technologies such as edge AI, hyperspectral imaging, and satellite–drone fusion; and the structural challenges limiting wider adoption — connectivity gaps, false positives, data fragmentation, and small-farm exclusion.
Construction robots can lay 6× more bricks than humans—but unions, labor law, and political calculus are keeping them off U.S. sites. How Japan, Singapore, and Europe are winning the race instead.
Laser weeding robots in 2025 are reshaping agriculture, with Carbon Robotics leading globally while HG Tech pushes competitive innovation from China.
Tesla Optimus Gen-3 hand redesign adopts gearbox, lead screw, and tendon drive as supply chain shifts toward cost compression and China-based scaling.
Leave a comment