Morph is a soft-robotics startup building soft robotic cells that embed physical AI into compliant hardware designed to move with the human body.
Morph is a soft-robotics company operating at the domain morph.inc, with its headquarters country recorded as the United Kingdom. The company describes its core offering as "soft robotic cells" engineered to move with the human body, framing the technology as an adaptive system intended for performance, health, and everyday-life use cases. Morph characterizes its approach as embedding what it calls "physical AI" directly into hardware, meaning control intelligence is built into the compliant mechanical structure itself rather than layered on top of a separate rigid robot as external software. In July 2026 the company was reported to have launched a soft-robotics platform built around these soft robotic cells, marking a public product introduction. Soft robotics as a technical category generally relies on compliant, non-rigid actuators and materials, such as pneumatic, tendon-driven, or elastomer-based structures, that let a device interact safely and adaptively with the human body, in contrast to traditional rigid-linkage industrial robots; Morph's stated focus on cells that "move with the human body" is consistent with this category, suggesting wearable or body-adjacent hardware rather than a fixed industrial arm. Beyond this positioning, Morph's public website presents largely as a minimal, JavaScript-rendered single page: at the time of this review its About, Team, Careers, and Press sections did not return populated, crawlable content, and the site does not publish a public contact email, phone number, or verifiable social media account. Consequently, details such as founding year, named founders, headquarters street address, employee count, funding history, specific product names or model numbers, technical specifications, and customer references could not be independently confirmed from official or secondary sources during this research pass and are left blank rather than estimated. Morph's public messaging aligns it with a broader wave of 2026-era "physical AI" and embodied-robotics startups that emphasize combining machine-learning control policies with compliant, body-safe hardware rather than pursuing rigid, fixed-base robot arms; within that context, a UK domicile places Morph among a smaller cluster of European soft-robotics ventures compared with the larger concentration of similarly framed companies based in the United States and China. This industry-context observation is offered as background rather than as a confirmed fact about Morph itself, since no independent verification of Morph's specific market position, competitors, or technical differentiation was available from the sources reviewed.
Primary type & automation activities this supplier delivers:
Modular soft robotic cells that sense and adapt shape/stiffness in real time to support human movement, performance and injury prevention.
Company Facts
Founded
-
Primary Role
Manufacturer
Company Size
-
Primary Region
Europe
Annual Sales
-
Funding Stage
-
Funding Total
-
BrainChip has launched the Symphony Community Akida Bundle, an open-source software package that integrates its Akida neuromorphic processors with IBM Spectrum Symphony Community Edition. This bundle allows developers to efficiently manage workloads by routing tasks to the most suitable processors, including Akida, which is designed for lightweight, event-driven inference. The introduction of the Akida bundle is significant as it addresses the AI industry's power consumption challenges. By enabling small inference jobs to be scheduled on Akida, enterprises can reduce reliance on GPUs, thus optimizing performance and energy efficiency. Analysts predict that the neuromorphic computing market will grow from $5.3 billion in 2023 to $20.3 billion by 2030, highlighting the increasing relevance of this technology. Looking ahead, the Symphony Community Akida Bundle positions BrainChip to expand its market reach beyond edge devices to on-premises enterprise servers. This move validates the role of neuromorphic computing in mainstream enterprise infrastructure, suggesting a shift in how production workloads can be managed more effectively. No further timeline was disclosed at the time of publication.
RoboticsAndAutomationNews.com Aug 21, 2026 Artificial Intelligence Computing Design Engineering ai accelerators AI infrastructureMIT researchers have created a mathematical framework that simplifies the design of bioinspired materials, such as moisture-responsive shingles. This framework captures the mechanisms across various length scales in natural systems, like those found in pine cones, and translates them into engineered systems that can be 3D printed. The significance of this work lies in its potential to streamline the development of adaptive materials, reducing costs and time associated with failed prototypes. By moving beyond mere bio-inspiration to what is termed 'bio-derivation,' engineers can systematically translate natural behaviors into synthetic structures, paving the way for innovations like soft robotic grippers and morphing airplane wings. Looking ahead, the framework's application could extend to more complex systems, enhancing the ability of engineers to create materials that respond dynamically to environmental changes. No further timeline was disclosed at the time of publication.
MITNews Aug 17, 2026 Research Bioinspiration Materials science and engineering Algorithms Design BiologyResearchers at Penn State have developed a new memory device that utilizes synthetic DNA and perovskite semiconductors, achieving a significant reduction in power consumption. This bio-hybrid system, which operates with 100 times less energy than traditional storage devices, could revolutionize data processing by combining the storage capabilities of DNA with the electronic properties of perovskite. The innovation is particularly relevant as the demand for artificial intelligence (AI) and neuromorphic computing grows, necessitating efficient low-power devices that can handle complex data. The memristor created by the team can retain information even when power is removed, mimicking the functionality of neurons in the brain and enabling more sophisticated data processing. Looking ahead, the integration of DNA into electronic systems presents opportunities for advancements in memory technology. However, practical applications will require further development to ensure sufficient storage capacity and efficiency. No further timeline was disclosed at the time of publication.
ScienceDaily.com Aug 17, 2026A team from Tsinghua University and Beihang University has developed a programmable artificial musculoskeletal actuator inspired by biological systems. This innovation allows for dynamic adjustments in morphology and stiffness, enabling robots to switch between different forms and functions. Two prototypes have been created: one weighing 1.8 grams that can alternate between quadrupedal and humanoid forms, and another mimicking a sugar glider, weighing 6.4 grams, capable of crawling, carrying objects, and gliding. This development is significant as it addresses the complexities of robotic design, particularly in miniaturized systems where space and power are limited. The new actuator system utilizes liquid crystal elastomers and shape memory polymers to achieve shape retention and dynamic control. The ability to independently adjust the stiffness and morphology of the robotic muscles enhances performance versatility, allowing robots to adapt to various tasks. Future developments to watch include potential applications of this technology in diverse fields such as search and rescue, exploration, and personal assistance. The research team has published their findings in the journal Science Advances, highlighting the importance of this work in advancing robotic capabilities and functionality.
leaderobot.com Aug 04, 2026 Robotics Programmable Actuators Bio-inspired Technology Soft RoboticsA research team from Drexel University published findings in 'Science Robotics' that simultaneously measured brain activity, hormones, self-reported attitudes, and behaviors, revealing the complete chain of trust formation and breakdown between humans and robots. The study found that 50 participants paid more attention to the expressive Pepper robot, which engaged in eye contact, gestures, and nodding. However, when the robot made mistakes—such as irrelevant comments or illogical justifications—participants' brain responses indicated a violation of social norms rather than a machine malfunction. This distinction is crucial as it highlights that trust loss is quantifiable. The calculations showed that once the robot began to err, its influence on human decision-making was halved, indicating a significant drop in trust. Surprisingly, the hormone oxytocin increased when the robot made mistakes, suggesting that in human-robot interactions, oxytocin acts more as a 'warning signal' than a 'bonding signal.' The researchers emphasized that expressiveness comes with risks. Frank Krueger, one of the authors, stated that high expressiveness raises the stakes; once a robot fails, it can lead to greater disappointment than a less expressive counterpart. The study serves as a clear warning for industries investing in social, anthropomorphic robots—such as healthcare, education, and customer service—to prioritize reliability before charm.
leaderobot.com Aug 04, 2026 Humanoid Robots Human-Robot Interaction Social Robotics AI Healthcare TechnologyA recent LexisNexis patent analysis reveals that China is at the forefront of humanoid robotics innovation, occupying six of the top ten spots for innovative startups globally. Chinese companies such as Fourier, AgiBot, LimX Dynamics, and Pudu Robotics lead the rankings, showcasing the country's rapid advancements in this field. The significance of this report lies in its indication of China's growing dominance in humanoid robotics, with projections showing that by the end of 2025, China will hold 73% of the world’s active morphology-related patent portfolio. This rapid innovation is highlighted by a doubling of patent activity in interaction systems and a fivefold increase in control and planning architectures over the past decade. Despite China's lead in quantity, the report notes that the U.S. excels in patent quality, with American inventors contributing significantly to global portfolio strength. As competition intensifies between the two nations, recent U.S. legislative actions reflect concerns over national security and supply chain vulnerabilities in advanced technologies.
InterestingEngineering.com Aug 01, 2026 AI and RoboticsMost books you read; Corke's you run. Every concept ships as executable Python via the open Robotics Toolbox. The code softens the maths.
ByRSF Research Jul 30, 2026A recent study by LexisNexis revealed a significant shift in the humanoid robot sector, with Chinese firms claiming all top five spots in innovation rankings. The leading companies include Fourier, AgiBot, LimX Dynamics, Pudu Robotics, and Unitree Robotics, all based in China. Additionally, Leju Robot from Shenzhen secured the ninth position, while only three US start-ups made the top ten. This dominance highlights China's rapid advancements in humanoid robotics, particularly in patent filings, which have doubled in interaction systems and increased significantly in morphology and control architectures over the past decade. The study utilized the Patent Asset Index to evaluate the strength of patent assets held by start-ups, emphasizing the importance of both the quantity and quality of patents in driving innovation. Looking ahead, the trend suggests that China will continue to lead in humanoid robotics innovation, with a growing emphasis on developing advanced technologies. The implications for global competition and investment in this sector will be significant, as companies worldwide may need to adapt to this shifting landscape. No further timeline was disclosed at the time of publication.
SCMPTech Jul 29, 2026Amateur astronomer Joël Lapointe discovered a potential meteorite impact crater in Quebec's Côte-Nord region while planning a camping trip. The crater, named Uhackatik, was confirmed by Western planetary geologist Gordon Osinski during a visit in 2025 and is estimated to be 390 million years old and approximately 15 miles (25 kilometers) wide. This discovery is significant as it may be one of the largest craters identified in recent years, with Osinski noting that the last comparable find was the Hiawatha structure in Greenland. The crater's geological features, including shock metamorphic effects and preserved impact melt rocks, provide valuable insights into meteorite impacts, which can enhance our understanding of similar events on the Moon and Mars. The research on Uhackatik will be presented at the 88th Annual Meeting of the Meteoritical Society in Frankfurt, Germany, in August. Osinski and his team are currently analyzing samples to confirm the crater's extraterrestrial origin, while he continues his work with NASA for upcoming lunar missions, including Artemis 4 and 5, expected to launch as soon as 2028.
SPACE.com Jul 21, 2026 Earth Astronomy Solar SystemThis 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.
ByKelly Stone Jul 18, 2026WAIC 2026 in Shanghai (July 17–20) saw 200+ embodied intelligence companies, 300+ live robots, and first confirmed humanoid deployments in logistics and pharmacy. RobotToday engineering analysis.
ByThomas Siew Jul 18, 2026mimic 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.
RoboticsAndAutomationNews.com Jul 18, 2026 Components Computing News ai automation dexterous manipulationRobbyant, 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.
RoboticsAndAutomationNews.com Jul 17, 2026 Computing Robot simulation artificial intelligence dual-arm robots embodied ai humanoid robotsRobbyant open-sources LingBot-VLA 2.0, a vision-language-action model trained on 60,000 hours of data for cross-morphology, whole-body robot control.
ByRobotToday Reporter Jul 08, 2026How OpenClaw's digital AI agent pattern is revolutionizing physical robotics through natural language control, ROS 2 middleware, and edge AI hardware—making robots reprogrammable through software instead of mechanical retooling.
BySarah Bakery Feb 14, 2026Robotics shifted from demos to deployment post-CES 2026, led by China’s humanoid scale, AI robot brains, and accelerating industrial adoption.
ByRobotToday Reporter Feb 07, 2026Mimic Robotics combines dexterous robotic hands with foundation-model Physical AI to automate human-like manipulation tasks in industry with scalable learning.
ByRobotToday Reporter Nov 23, 2025China unveils the world’s largest 1,230-ton skin stretching machine for aerospace manufacturing, marking a major advancement in high-precision industrial capability.
ByRobotToday Reporter Nov 05, 2025Explore how AI-embodied flexible electronic robots (FEBots) fuse sensing, actuation, and self-learning into tiny, autonomous soft machines that navigate complex environments with insect-like agility, pointing to future applications in search-and-rescue, inspection, and medical micro-robotics.
ByKelly Stone Oct 07, 2025