Groove X (Lovot) (JP)
Japanese robotics company developing LOVOT, a companion robot designed for emotional interaction with humans. The robot uses sensors and AI to respond to human presence; targeted at home and family service applications.
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
The Rise of Force Sensing Technology in China's Robotics Industry
Recent trends in the robotics industry indicate a shift from mere mobility to operational intelligence, particularly in humanoid robots. Companies are now focusing on practical applications such as tool handling and assembly, highlighting the importance of force sensing technology. As robots engage in physical tasks, understanding the force exerted becomes crucial for effective operation. This transition underscores the growing significance of six-dimensional force sensors, which are evolving from optional components in industrial robots to essential infrastructure for next-generation intelligent robots. The recent funding rounds exceeding 100 million yuan reflect a broader interest from both traditional investors and state-owned enterprises, signaling a pivotal moment in the industry's development. Looking ahead, the demand for comprehensive sensing, control, and manufacturing infrastructure will likely increase as the humanoid robotics sector matures. The complexity of enabling robots to perform sustained tasks, such as assembly and material handling, will challenge developers to innovate beyond flashy capabilities and focus on the intricate details that drive commercialization.
Humanoid Robots Force Sensing Technology Industrial Automation Robotics Innovation
Delta Electronics' D-Bot Collaborative Robots Win BIG SEE Product Design Award 2026
Delta Electronics has received the prestigious BIG SEE Product Design Award 2026 for its Delta D-Bot series of collaborative robots. This award highlights exceptional achievements in product design and industrial innovation, showcasing Delta's commitment to sustainability and creativity in technology. The recognition is significant as it underscores Delta's strategy of investing over eight percent of its annual revenue in research and development, particularly in design and innovation. Michael Mayer-Rosa, senior director at Delta, emphasized that the award reflects the high standards of their team in merging industrial robotics with practical and efficient design, catering to diverse customer needs. Looking ahead, Delta's D-Bot series, launched in spring 2024, features six flexible models with advanced safety technologies and compatibility with various industrial protocols. No further timeline was disclosed at the time of publication.
Design Industrial robots autonomous mobile robots BIG SEE Product Design Award cobots collaborative robots
Medicaroid Achieves CE Marking for hinotori Surgical Robot System in Europe
Medicaroid has obtained CE marking for its hinotori Surgical Robot System under the EU's Medical Device Regulation, allowing it to market the system across EU member states and select non-EU countries. This approval is a crucial part of Medicaroid's strategy to expand internationally beyond Japan and the Asia-Pacific region. The hinotori Surgical Robot System was initially approved for manufacture and sale in Japan in 2020 and has since gained regulatory approvals in Singapore, Malaysia, and Vietnam. The recent CE marking enables Medicaroid to enter the European, Middle Eastern, and African markets, which is vital for the company's growth and the global adoption of medical robotics. Looking ahead, Medicaroid aims to leverage its new certification to enhance its presence in the EMEA region. The company established Medicaroid Europe GmbH in Germany in 2020 to facilitate its commercial operations. No further timeline was disclosed at the time of publication.
Health News automation CE marking europe healthcare robotics
MoSense Secures Angel Funding for Comprehensive Robotic Tactile System Development
MoSense, a company specializing in multimodal tactile solutions for robotics, has successfully completed an angel funding round worth several million yuan. Investors include Sequoia China, Hillhouse Capital, and Zhiyuan Robotics. The funds will primarily accelerate research and development, team expansion, computational power investment, and production testing system establishment. Founded in May 2026 and headquartered in Shanghai, with a research center in Shenzhen, MoSense focuses on developing a comprehensive multimodal tactile perception system for robots. The company aims to enhance robots' environmental perception capabilities, which are crucial for their deployment in complex real-world scenarios such as industrial manufacturing and logistics. Looking ahead, MoSense plans to commercialize its multimodal tactile solutions across various industries beyond humanoid robotics. The company is developing a tactile feedback system that integrates multiple sensory modalities, which is essential for improving robots' interaction with their environments. No further timeline was disclosed at the time of publication.
Monumental Secures $32 Million to Enhance Autonomous Construction Robot Deployment
Monumental, a tech company based in Amsterdam, has successfully raised $32 million in a Series B funding round led by Khosla Ventures, with participation from existing investors Plural and Hummingbird. This funding will enable Monumental to expand its team of engineers, increase the deployment of its autonomous construction robots across Europe and the UK, and facilitate its entry into the US market. The significance of this funding lies in addressing the labor shortage in the UK construction sector, where the Home Builders Federation estimates a need for 20,000 additional bricklayers to meet the government’s target of 1.5 million new homes. Monumental's fleet of over 150 robots is already operational as autonomous subcontractors, demonstrating the potential to alleviate this gap in labor and enhance construction efficiency. Looking ahead, Monumental aims to broaden the range of construction tasks its robots can perform while deepening its presence in the UK and expanding into the US. No further timeline was disclosed at the time of publication.
Construction News Technology AI in construction Atrium AI platform automation
MassRobotics Launches Sponsorships for RoboBoston 2026 and AI Career Fair Announcement
MassRobotics has revealed plans for RoboBoston 2026, its ninth annual Robot Block Party, scheduled for September 26, alongside a Robotics & AI Technical Career Fair on September 25. The event will take place at Boston’s Seaport and is expected to host over 50 robotics companies, universities, and student teams, showcasing interactive exhibits and demonstrations. The significance of RoboBoston lies in its role in highlighting the region’s robotics ecosystem, uniting industry, academia, and students. Attendees will experience a variety of activities, including a Sidewalk Robot Parade and a ribbon-cutting ceremony, while exhibitors will present new technologies and research projects. MassRobotics has opened sponsorship opportunities, inviting organizations to support the event and promote STEM education and robotics innovation. Looking ahead, the Robotics & AI Technical Career Fair on September 25 aims to connect employers with technical talent in the robotics and AI sectors. Previous events have drawn over 800 job seekers, making it a valuable opportunity for both companies and candidates. No further timeline was disclosed at the time of publication.
Business Features ai careers artificial intelligence automation boston
Cornell Undergraduates' Electric Weed-Killing Robot Wins Grand Prize at Competition
A team of undergraduates from Cornell University has secured the grand prize at The Farm Robotics Challenge with their innovative autonomous robot designed to eliminate weeds using electricity. This robot operates independently in vineyards and orchards, effectively reducing labor and energy consumption while avoiding herbicides. The significance of this achievement lies in its potential to address the persistent challenge of weeds in agricultural settings, which can severely impact crop health and yield. Traditional methods of weed control are labor-intensive and costly, making this new technology a promising alternative for growers. Looking ahead, the team plans to enhance their technology and validate it with agricultural producers before launching it commercially. No further timeline was disclosed at the time of publication.
BXI Robotics Secures Millions in Funding for Humanoid Robot Development and Market Expansion
BXI Robotics, a humanoid robot ODM provider, has recently completed a new funding round worth millions, with investment from A-share listed company Suochen Technology. The funds will primarily support the development of next-generation humanoid robots and expansion into overseas markets. Previously, BXI Robotics secured its first round of institutional financing in 2025 from Feirongda. Founded in 2022, BXI Robotics has been developing humanoid robots since 2020. The company focuses on high-dynamic bipedal humanoid robots and is one of the few teams in China capable of full-stack self-research, including machine design, core motors, motion control algorithms, and software delivery. BXI Robotics aims to meet the growing ODM market demand as many companies seek to quickly establish their own humanoid robot brands. Looking ahead, BXI Robotics plans to enhance its capabilities in end-effectors, perception, and computation to improve robots' ability to execute tasks autonomously. The company anticipates significant growth in orders and revenue, projecting monthly order amounts to exceed ten million yuan from July 2026 to July 2027, with a total annual revenue expected to surpass one hundred million yuan. No further timeline was disclosed at the time of publication.
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
Noetra Initiates Development of Japan's Multimodal AI Foundation Model for Robotics
Noetra, in collaboration with key partners including Sony, SoftBank, NEC, and Honda Motor, has launched extensive R&D for a multimodal foundation model aimed at enhancing AI-enabled robotics in Japan. This initiative is part of a broader effort to develop sovereign AI technologies within the country, supported by investments from 44 companies across various sectors, primarily manufacturing. The significance of this development lies in its potential to position Japan as a leader in physical AI. By creating a robust multimodal foundation model, Noetra aims to improve industrial competitiveness and address societal challenges through advanced AI capabilities, including natural language processing and multimodal data understanding. Looking ahead, Noetra plans to construct AI computing infrastructure with Nvidia's advanced GPUs, with operations expected to commence in June 2028. The phased development will culminate in a comprehensive omni-modal foundation model by fiscal 2028, ultimately striving for a “Real-world Native AI” by fiscal 2030, which will be capable of understanding physical properties in real-world applications.
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