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Website: https://c-linksystems.com
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Phone: 2010. 2013
220 Eddie Kahkonen Rd.
Norway, ME 04268
C-Link Systems
US developer of autonomous mobile robots (AMR), including the Scrounger platform with configurable autonomous payloads. Products target autonomous material handling and logistics tasks in industrial and commercial 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.
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
Graduate Student Develops NASA Robot Assembly Algorithm for Satellite Antennas
Sarah Downs, a graduate student at Texas A&M University, has developed an algorithm for NASA that enables robots to assemble satellites in space. This algorithm addresses the classic peg-in-hole problem by allowing robots to insert antennas accurately into designated spots. Downs's work is significant as it enhances the capabilities of robots operating in the challenging environment of outer space. The importance of Downs's research lies in its potential to improve satellite assembly processes, which are critical for space missions. By creating a robot that can perform tasks without relying on vision systems, Downs addresses the challenges posed by the harsh conditions of space where cameras may fail. This innovation could lead to more reliable and efficient satellite deployment in future missions. Looking ahead, Downs plans to continue her research on satellite assembly and manipulation at a larger scale. As she progresses in her Ph.D. studies, her work will likely contribute to advancements in robotics that could transform how satellites are constructed and maintained in orbit. No further timeline was disclosed at the time of publication.
Type-ti Ieee-member-news Robots Nasa Student-member Satellites
1X Introduces Advanced 25-Degree-of-Freedom Hands for NEO Humanoid Robot
1X has launched a new tendon-driven robotic hand for its NEO humanoid platform, featuring 25 degrees of freedom. This design enhances dexterity, strength, and tactile sensing, enabling advanced AI-driven manipulation capabilities. The introduction of these hands aims to eliminate the 'hardware ceiling' that has previously restricted humanoid robots, allowing for more human-like manipulation. The hands can perform various tasks, including assembling LEGO models and using tools, showcasing their versatility and advanced functionality. Looking ahead, 1X has established a dedicated production line and plans to manufacture up to 10,000 units this year, which will facilitate broader deployment of the NEO humanoid platform. No further timeline was disclosed at the time of publication.
Humanoids News 1x artificial intelligence automation embodied ai
Innovative Robotic Hand Uses Single Motor for Versatile Gripping Solutions
A new robotic hand has been developed that can switch between multiple grippers using just one motor. This innovation addresses the need for robots to handle a wide variety of objects across different environments, including factories and households. The ability to manage diverse objects with a single motor reduces the complexity associated with traditional robotic hands, which typically rely on multiple motors and intricate control systems. This advancement not only lowers the weight and cost of robotic systems but also minimizes the risk of failures and simplifies control mechanisms. As the demand for adaptable robotic solutions grows, this new technology could significantly impact various sectors. Future developments may focus on enhancing the versatility and efficiency of robotic hands, although no further timeline was disclosed at the time of publication.
Robotics
Robbyant Launches Upgraded LingBot-VLA 2.0 AI Model for Advanced Robotics
Robbyant, a company specializing in embodied AI under Ant Group, has unveiled the upgraded LingBot-VLA 2.0 model. This next-generation vision-language-action model enhances morphological generalization, degrees of freedom support, and deployment efficiency, addressing a critical gap in the embodied AI industry. The significance of LingBot-VLA 2.0 lies in its extensive pre-training on 60,000 hours of real-world data, which includes interactions from 20 different robot morphologies. This upgrade allows for improved whole-body control and dual-arm manipulation, achieving leading scores on benchmarks, thus demonstrating its effectiveness in industrial-scale deployment. Looking ahead, the introduction of a version optimized for efficient post-training and a threefold increase in inference efficiency positions LingBot-VLA 2.0 as a strong contender for real-time commercial applications. No further timeline was disclosed at the time of publication.
Computing Robot simulation artificial intelligence dual-arm robots embodied ai humanoid robots
Qianjue Robotics Launches X-TouchMind V1 and TacVerse 1k for Enhanced Robot Interaction
On July 16, Qianjue Robotics unveiled its first embodied tactile model, X-TouchMind V1, alongside the TacVerse 1k multimodal dataset. This development addresses the limitations of traditional visual models in robotic operations, particularly in precision assembly and handling delicate objects, where failures often occur after contact. The new model integrates visual, linguistic, tactile, and robotic state data to enhance physical interaction capabilities. The significance of this release lies in Qianjue's comprehensive approach, which encompasses tactile perception hardware, self-developed multimodal data collection devices, and the new tactile model. Unlike previous attempts that merely supplemented tactile signals to visual data, the VTLA embodied tactile model establishes a closed-loop system that fundamentally redefines the perception boundaries of robotic models. This innovation allows robots to understand and respond to physical interactions more effectively. Looking ahead, Qianjue Robotics will demonstrate the capabilities of the VTLA model at the WAIC 2026 exhibition, showcasing real-world applications such as autonomous box stacking and precise assembly of headphones. The focus will be on how the model can dynamically adjust actions based on tactile feedback, marking a significant advancement in robotic interaction technology. No further timeline was disclosed at the time of publication.
Tactile Intelligence Robotic Interaction Precision Assembly Multimodal Data AI Robotics
Robots Face Challenges in Basic Tasks Despite Advances in Embodied Intelligence
Over the past year, the robotics industry has engaged in a competitive race focused on enhancing the computational power, parameters, and algorithms of robotic 'brains.' While advancements in reasoning capabilities are evident, robots still struggle with basic tasks such as grasping objects or performing precise manipulations. This discrepancy raises questions about the effectiveness of current sensory technologies. The core issue lies in the limitations of robotic perception, which relies heavily on either pure vision or multi-sensor fusion approaches. Multi-sensor fusion, favored by many embodied intelligence manufacturers, combines various sensors to improve robustness and accuracy. However, this method introduces challenges related to data synchronization and processing overhead, hindering the scalability of embodied intelligence. Conversely, pure vision systems, exemplified by Tesla's approach, depend on 2D RGB cameras to reconstruct 3D environments. This method lacks depth information and can falter in challenging visual conditions. Both approaches suffer from the loss of information during data transmission and processing, resulting in robots receiving 'second-hand data' rather than real-time, unified information from the physical world. No further timeline was disclosed at the time of publication.
Robotic Vision Embodied Intelligence Sensor Technology AI Automation
Physical AI Landscape: From Digital Intelligence to the Embodied Physical World
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.
Pittsburgh Regional Alliance Convenes Nine CMU-Rooted Robotics Firms at Automate 2026
At Automate 2026, the Pittsburgh Regional Alliance convened nine robotics firms — most spun out of Carnegie Mellon — spanning materials, perception and AMRs.
Automate 2026 | Amprius SiCore SA88 Competes for Innovation Award in Robotics Battery Category
At Automate 2026 in Chicago, Amprius Technologies exhibited its SiCore SA88 silicon-anode pouch cell — 358 Wh/kg, 750 Wh/L — as a finalist in the Components, Hardware & Enabling Technologies category. Analysis of implications for AMR, UAV, and aerial mobility platforms.
Capex Analysis 2025: AI Hyperscalers vs Humanoid Robots — Financing Risk Deep Dive
Compare how Microsoft, Google, Oracle, Tesla Optimus, Figure AI and UBTECH finance their Capex. Supply chain risk, ROIC analysis and a 3-dimension investment framework included.
Supply Chain Reckoning: Can Boston Dynamics Avoid Becoming the Next iRobot?
A data-driven analysis comparing Boston Dynamics Atlas and Tesla Optimus supply chain strategies in 2026. Examines actuator costs, production ramp speeds, and how Boston Dynamics can avoid iRobot's bankruptcy by adopting a tiered supply chain approach. Includes component cost tables, risk heat maps, and strategic frameworks.
ROBOTTODAY Weekly, June 8 – 12, 2026
This week in robotics: Bezos’ Prometheus raises $12B for physical AI, NEURA Robotics closes $1.4B Series C, NVIDIA deepens partnerships with Hyundai and LG in Seoul, and Hyundai’s Boston Dynamics robot dogs debut at FIFA World Cup 2026. June 8–12, 2026.
ROBOTTODAY Weekly May 23 – 29, 2026
This week in robotics: the Humanoids Summit debuts in Tokyo, China assigns every humanoid robot a digital ID, Figure signs a Catalyst Brands deployment deal, and Unitree heads to a June 1 IPO hearing. May 23–29, 2026.
FUTURE WARFARE | Sea - Autonomous Surface Vessels & Unmanned Underwater Vehicles — The Hybrid Fleet Takes Shape
Ukraine’s ‘Sub Sea Baby’ autonomous torpedo struck a Russian Kilo-class submarine inside Novorossiysk harbour in December 2025 — the first confirmed underwater drone attack on a submarine in history. The U.S. Navy is requesting $5.3 billion for unmanned maritime systems in FY2026, a 70 percent year-on-year increase. Saronic Technologies went from prototype to $392 million production contract in under 12 months. And DARPA’s Manta Ray XL-UUV completed full-scale sea trials. This article maps the maritime autonomous systems revolution — from Ukraine’s improvised Black Sea fleet to the Pentagon’s hybrid manned–unmanned force of the 2030s, and from Saronic’s Franklin, Louisiana shipyard to Boeing’s 85-tonne robot submarine.
OpenClaw + UNIHIKER K10: Natural Language Hardware Programming in Minutes
Learn how OpenClaw enables natural language hardware programming on UNIHIKER K10, automating code generation, debugging, and deployment in minutes.
From Pilots to Production: The Counter-Drone Industry Enters a New Phase
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.
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