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Robotics News
The Robot Report
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Mbodi AI launches on Y Combinator, developing embodied AI for industrial robots
- Mbodi AI, a company focusing on embodied AI for industrial robots, has been selected to join the Y Combinator accelerator's X25 batch.
- The co-founders of Mbodi AI, Xavier (Tianhao) Chi and Sebastian Peralta, aim to simplify teaching robots new skills through natural language and quick demos, eliminating the need for code or engineers.
- They emphasize the importance of flexibility in automation adoption due to labor shortages in manufacturing and the challenges of reprogramming robots to adapt to changing production needs quickly.
- Mbodi AI's cloud-to-edge system incorporates generative AI, agent orchestration, and symbolic reasoning to translate high-level instructions into precise and adaptive robot actions.
- The startup envisions a future where robots can be easily taught and repurposed, sharing knowledge across fleets and enabling automation to be more accessible and adaptable.
- By partnering with companies like ABB Robotics, Mbodi AI aims to bring its embodied AI platform into real-world manufacturing facilities to automate complex and costly tasks.
- Initially focusing on pick-and-place applications, Mbodi AI plans to expand into mobile manipulation and higher autonomy levels, aiming to develop expertise-specific vision-language-action models.
- The company's goal is to make robots as easy to teach and adapt as software, revolutionizing the accessibility and integration of automation and robotics in various industries.
- Mbodi AI seeks collaborations with manufacturers, systems integrators, and robot makers to address challenges that were previously prohibitive for robotics applications.
- Through their innovative approach to embodied AI, Mbodi AI aims to pave the way for a future where robotic technology is seamlessly integrated and widely utilized across different sectors.
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TechCrunch
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Image Credit: TechCrunch
4 days left: Up to $900 off your ticket and 90% off for your +1 at TechCrunch Disrupt 2025
- Only 4 days left to save up to $900 on TechCrunch Disrupt 2025 ticket with an additional 90% off for your +1. The event will take place from October 27–29 in San Francisco.
- TechCrunch Disrupt is celebrating its 20th anniversary and will feature 10,000 tech, startup, and VC leaders discussing AI breakthroughs, tech innovation, and startup launches.
- The event will host renowned speakers including Adam Bain, Astro Teller, Sangeen Zeb, and more. It offers interactive sessions, Startup Battlefield competition, demos, and networking opportunities.
- Early Bird pricing saving up to $900 on tickets is available until May 25 at 11:59 p.m. PT. Attendees can secure their spots now to be part of this innovative experience.
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The Robot Report
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Photoneo launches MotionCam-3D Color (Blue) to improve robot perception
- Photoneo launched MotionCam-3D Color (Blue) to enhance robot perception by utilizing blue laser technology for accurate scanning even at high speeds.
- Traditional sensors have limitations in data quality, resolution, and robustness, but MotionCam-3D Color (Blue) offers sub-millimeter accuracy at 20 fps, enabling dynamic object handling and faster cycle times.
- The sensor can capture high-resolution data from moving objects without the need for pauses, improving efficiency in tasks such as dimensioning and assembly.
- MotionCam-3D Color (Blue) is unaffected by ambient light and can detect dark, transparent, or reflective objects with precision, minimizing the need for pre-sorting.
- The sensor facilitates real-time digital twinning by converting 3D data into high-fidelity meshes, supporting industrial inspection and artificial intelligence integration.
- Photoneo's new sensor promises zero downtime with Autonomous Maintenance software, simplifying maintenance and ensuring continuous operation for customers.
- Supported by GigE Vision 2.1, MotionCam-3D Color (Blue) offers seamless integration with third-party software and supports various coding platforms for ease of use.
- Photoneo, established in 2013, has a history of innovation in sensor technology and has collaborated closely with customers to develop MotionCam-3D Color (Blue) for enhanced perception capabilities.
- The sensor is set to be shipped alongside Photoneo's existing sensors and software versions, catering to industries like automotive manufacturing and logistics.
- Photoneo's MotionCam-3D Color (Blue) reflects the company's commitment to advancing robot perception through cutting-edge sensor technology and real-time data processing.
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Hackernoon
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Image Credit: Hackernoon
Swarm Robotics: The Future Belongs to the Collective
- Swarm robotics, inspired by collective behavior of animals like ants and birds, involves multiple basic robots working together to accomplish tasks beyond the capability of a single robot.
- This technology blends artificial intelligence with decentralized control systems and is set to revolutionize industries ranging from disaster response to space exploration by enabling robots to cooperate and solve complex problems on a large scale.
- Swarm robots operate autonomously using sensors, communication modules, and AI algorithms, making them adaptable, scalable, and resilient. They can operate in hazardous environments and are useful in various sectors, from agriculture to space exploration.
- Advancements in technology, such as new AI algorithms and communication technologies, have made swarm robotics feasible. Challenges like robust communication in complex environments and scalability are being addressed to further enhance the integration of AI and emerging technologies with swarm robotics in the future.
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Eu-Startups
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Amsterdam-based VC firm Keen Venture Partners secures EIF backing for €40 million defence tech fund
- Dutch VC firm Keen Venture Partners receives a €40 million investment commitment from the European Investment Fund (EIF) for its European Defence and Security Tech Fund.
- This investment aims to enhance Europe's defence innovation ecosystem in the wake of increasing global tensions and the rising importance of technological sovereignty.
- Keen Venture Partners focuses on DeepTech ventures and collaborates with tech entrepreneurs to drive innovation in sectors like cybersecurity, AI, robotics, and space technology.
- The investment will support early-stage startups across Europe, particularly in satellite communication protection, space asset defense, and satellite imagery analysis, contributing to modernizing and securing Europe's defense capabilities.
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The Robot Report
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Rainbow Robotics unveils omnidirectional wheels, development kit for its dual-arm robot
- Rainbow Robotics unveiled two new features for its RB-Y1 system, a semi-humanoid robot with two arms and a wheeled base, at ICRA 2025.
- The RB-Y1 now includes a Mecanum wheel system for enhanced maneuverability and an integrated software development kit (SDK) for customization.
- Rainbow Robotics aims to solidify its position in the global humanoid robotics market with these advancements.
- Samsung Electronics acquired a majority stake in Rainbow Robotics in December 2024, aiming to combine robotics technology with AI for intelligent humanoids.
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TechCrunch
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Image Credit: TechCrunch
Serve is betting that food delivery and access to public markets are the keys to scaling robotics
- Serve Robotics, backed by Nvidia and Uber, raised $80 million to scale its fleet of sidewalk delivery robots across U.S. cities.
- Serve aims to deploy 2,000 bots by the end of this year and achieve operational profitability once fully deployed.
- The company utilizes food delivery as a testing ground and focuses on last-mile delivery with a mix of hardware, logistics, and data.
- Serve's CEO, Ali Kashani, discusses the company's journey from a Postmates spinout to a publicly traded entity, the use of sidewalk bots to collect visual data, and the potential of combining ground robots and drones for last-mile logistics.
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The Robot Report
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10 robotics trends spotted at Automate 2025
- Automate 2025 in Detroit showcased the latest in commercial and industrial automation, drawing in a significant number of attendees and exhibitors.
- Despite economic challenges, the event reported a 40% rise in registrants and continued growth in networking events around the automation industry.
- The market, although experiencing some slowdowns, is expected to improve later this year or in early 2026, with companies gearing up to stay competitive.
- Incremental technological changes were noted at the event, with highlights including Universal Robots' release of the UR15, the fastest collaborative robot arm to date.
- Industrial and collaborative robots are converging, with a focus on lighter, more precise cobots from various manufacturers like ABB, FANUC, and KUKA.
- Automate 2025 emphasized the importance of ecosystems, with companies partnering and showcasing integrated offerings to enhance automation solutions.
- Component providers and integrators played a key role in the adoption of automation, showcasing technologies like motion control, sensors, and improved vision systems.
- Mobile robots were a focus at the event, with advancements in robot arms, SCARA robots, and delta robots compared to autonomous mobile robots (AMRs).
- Software, data, and AI were highlighted as crucial enablers for robotics, with a focus on connecting software stacks, collecting data, and utilizing AI for simulation and training.
- Tariffs, sustainability, and labor augmentation were key topics at Automate 2025, impacting businesses and driving discussions on global trade, environmental efforts, and workforce development.
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Unite
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Image Credit: Unite
How AI-Powered Workstations Are Rewriting the Rules of Hollywood Production
- AI adoption in Hollywood has been increasing by roughly 35% annually since 2018, with about 70% of movies leveraging AI from 2023-2025.
- AI technologies like generative design and real-time rendering are reshaping how stories are conceived and delivered on screen.
- Studios are equipping creative teams with high-performance, AI-ready infrastructure to support innovation and scale in content creation.
- AI plays a critical role in modern visual effects pipelines, allowing for real-time creative iteration and precision in VFX production.
- AI in the media and entertainment market is projected to grow at a CAGR of 24.2% from 2025 to 2030, becoming a core component in VFX workflows.
- AI assists artists in reducing time-consuming processes and focusing more on creativity within visual content creation.
- Generative design tools powered by AI help artists generate environments, props, and simulations efficiently based on simple prompts.
- AI integration enables faster turnaround times, higher creative agility, and improved quality control in the production schedule.
- Scalability is essential for studios, requiring infrastructure that can scale compute power, storage, and collaboration tools seamlessly.
- The strategic adoption of AI-optimized workstations offers reduced compute times, fewer delays, and higher creative output for studios.
- AI-powered workstations are revolutionizing Hollywood production, enabling faster, more scalable, and creatively agile visual effects pipelines.
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Unite
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Image Credit: Unite
Nick Kathmann, CISO/CIO at LogicGate – Interview Series
- Nicholas Kathmann is the Chief Information Security Officer (CISO) at LogicGate, overseeing the company's information security program and engaging with customers on cybersecurity risk management.
- LogicGate is a risk and compliance platform that aids organizations in automating and scaling their governance, risk, and compliance programs through Risk Cloud®.
- AI is expected to transform the roles of CISO and CIO in the next 2-3 years, especially with the rise of Agentic AI for handling business processes and audit assessments.
- Enterprises should consider global regulatory requirements for AI deployment amidst federal cyber layoffs and deregulation trends to maintain a strong security posture.
- The biggest blind spot in integrating AI into cybersecurity frameworks is data oversight, as traditional security tools may become ineffective with AI incorporation.
- Effective AI governance frameworks require broad understanding and enforcement throughout the organization, with continuous testing to prevent model drift and bias.
- Changelogs, limited policy updates, and real-time feedback loops are essential in maintaining agile AI governance, but frequent changes can hinder governance efforts.
- Concerns regarding AI bias and discrimination in underwriting or credit scoring highlight the need for oversight and accountability in AI-driven decision-making processes.
- AI tools are reshaping the risk landscape and insurance underwriting by providing better risk management insights for organizations and identifying inconsistencies for underwriters.
- To implement AI responsibly, companies should start by defining use cases, understanding applicable controls, and prioritizing strong AI governance for risk mitigation and efficiency.
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Unite
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Image Credit: Unite
How AI is Ushering in a New Era of Robotic Surgery
- Medical robotics initially introduced minimally invasive procedures in general surgery in the 1980s, enhancing surgical capabilities.
- Artificial intelligence (AI) is revolutionizing precision and control in surgeries, yet current robotic systems are limited to specific procedures.
- The robotics industry is witnessing rapid growth fueled by increased funding and technological advancements, with market predictions exceeding $14 billion by 2026.
- Deep tech approaches merging AI, quantum computing, and robotics are reshaping surgical robotics, potentially automating procedures for wider access.
- AI integration in surgical robotics offers embodied AI capabilities for complex tasks, real-time data insights and guidance to enhance surgical decisions, and increased accuracy and precision in surgeries.
- Embodied AI, combined with physical systems in surgical robotics, can revolutionize surgical care and training methods, benefiting both surgeons and patients.
- AI-driven systems can provide real-time insights and feedback to optimize surgical techniques, improve decision-making during operations, and enhance surgical outcomes.
- Robotic platforms utilizing AI technologies aim to eliminate human errors, improve surgical precision, and standardize the quality of care provided by all surgeons.
- Incorporating AI in robotic surgery advances healthcare accessibility and ensures consistent treatment quality, enhancing the overall patient and surgeon experience.
- Advancements in robotics, AI, and automation are set to elevate healthcare standards and increase access to advanced medical care, transforming the healthcare industry.
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Unite
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Image Credit: Unite
Sustain Your Success: How to Prepare for the Unexpected Through AI Resilience
- The AI revolution is reshaping businesses, emphasizing the need for resilient infrastructure to sustain success amidst rapid growth.
- Resilient AI systems are crucial for sustainable innovation and handling unpredictable growth and threats in the AI-driven world.
- DeepSeek's success and setbacks highlight the importance of AI resilience in sustaining competitive velocity and tenable growth.
- To succeed in a fast-paced technological landscape, businesses must ensure their AI infrastructure can scale rapidly and handle evolving demands.
- AI resilience involves building adaptive infrastructure capable of withstanding unpredictable growth and threats in today's cloud-native landscape.
- Businesses need to continually evolve AI models within modern databases while balancing efficiency and reliability to ensure long-term success.
- Predictive analytics and maintenance play a crucial role in foreseeing potential failures and taking preventive measures in AI systems.
- Cloud-native frameworks can optimize AI resilience by enabling efficient scaling and real-time adaptation to changing demands.
- Focusing on resilience while integrating AI is essential to prevent disruptions and failures, ensuring long-term sustainability and success.
- As AI becomes more integrated into business processes, organizations must prioritize resilience to mitigate risks associated with AI deployment.
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Unite
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Image Credit: Unite
Mohammad Abu Sheikh, Founder & CEO of CNTXT AI – Interview Series
- Mohammad Abu Sheikh is driving a shift towards sovereign innovation in the AI landscape in the MENA region through his role as CEO of CNTXT AI.
- He has led successful exits, secured over a billion dollars in funding, and focuses on establishing an AI ecosystem rooted in language, culture, and data sovereignty.
- CNTXT AI offers cloud infrastructure, industrial software, and robotics solutions to help organizations modernize operations and gain data-driven insights in the Middle East and North Africa.
- Abu Sheikh started CNTXT AI to address the lack of data readiness for AI in the region, leveraging his experience in working with entities like AI71, TII, and G42 (IIAI).
- CNTXT AI has built the largest Arabic digital library for AI training, overcoming challenges like data quality and scarcity through self-created and curated data solutions.
- Emphasizing cultural relevance, CNTXT AI integrates local cultural aspects and dialects into its AI solutions from inception, catering to specific regional needs.
- Abu Sheikh's ventures, LocAI and SMPL AI Fund, complement CNTXT AI by providing application layer solutions and supporting early-stage startups in the AI ecosystem.
- The development of Munsit, an Arabic speech recognition model, aimed to address the market demand for such solutions and showcase regional innovation in AI technology.
- Munsit's weakly supervised learning approach enabled scalable training of Arabic ASR without extensive manual annotation, leading to its outperformance in various benchmarks.
- The success of Munsit highlights the potential for Arabic AI innovation to be led from within the region, emphasizing the importance of local talent in solving regional challenges.
- Abu Sheikh envisions continued evolution and new AI solutions powered by models like Munsit at CNTXT AI, signaling ongoing advancements in Arabic voice AI technology.
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TechCrunch
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Image Credit: TechCrunch
Trump administration may sell deep-sea mining leases at startup’s urging
- The U.S. Department of the Interior is initiating the process of selling deep-sea mining leases in response to a request from startup Impossible Metals specifically for waters offshore American Samoa.
- Interior Secretary Doug Burgum emphasized the importance of critical minerals for national security and economic growth, supporting the move to access deep-sea mineral resources.
- Impossible Metals, the startup seeking the leases, has developed an underwater autonomous vehicle to extract polymetallic nodules from the ocean floor, claiming it to be less disruptive to deep-water ecosystems compared to other methods.
- While the high mineral concentrations in polymetallic nodules are appealing, concerns have been raised by ecologists and oceanographers about the potential long-term ecological impacts of mining operations on the delicate deep-sea ecosystems.
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Unite
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Image Credit: Unite
How Explainable AI Builds Trust and Accountability
- Businesses are rapidly adopting AI technologies like chatbots and decision-support tools, but many overlook the unpredictability and lack of control in neural network-based systems.
- Unpredictability in AI systems can lead to situations like customers exploiting chatbots to make unauthorized purchases or perform unintended tasks.
- The fundamental architecture of Large Language Models (LLMs) makes it challenging to understand or predict their outputs, causing reliability issues.
- To fully leverage AI's potential, organizations need to move beyond using AI as a personal assistant and integrate it into processes without constant human intervention.
- Methods like system nudging, AI monitoring other AI, and hard-coded guardrails offer partial solutions but have limitations in ensuring comprehensive reliability.
- A more effective approach involves building AI-centric processes that operate autonomously with strategic human oversight to catch potential reliability issues.
- Organizations must rethink how work is done by creating repeatable processes with human review, leading to autonomous operation with periodic human intervention.
- In the insurance industry, a revolutionary approach would involve designing automated systems using AI tools monitored by humans, reducing the risk of unpredictability in individual cases.
- Explainable AI systems offer a clearer divide between organizations merely using AI and those transforming their operations, giving the latter a competitive edge in their industries.
- Unlike black-box AI, explainable AI ensures meaningful human oversight, fostering a future where AI enhances human potential rather than replacing human labor.
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