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Robotics News
The Robot Report
1w
243
Universal Robots releases the UR15, its fastest cobot yet
- Universal Robots has unveiled its fastest collaborative robot, the UR15, with a maximum TCP speed of 5 m/s to improve cycle times and productivity across industries.
- The UR15 offers up to 30% cycle time improvements for pick-and-place applications, maintaining the lightweight and small footprint design of UR cobots.
- Combined with OptiMove motion control technology, the UR15 ensures accurate movements in high-speed and high-payload applications.
- UR aims to boost collaborative automation with the UR15, offering seamless performance in diverse production environments.
- Despite facing sales challenges, UR has introduced leadership changes and the UR15 to enhance its position in the robotics market.
- The robot industry is facing pressures for automation due to labor shortages, demand shifts, and increased volatility.
- UR has been a leading cobot provider, recently surpassing 100,000 cobots sold and targeting industries like automotive, machining, and electronics with the UR15.
- The UR15 has a payload of 15 kg, expandable to 17.5 kg, and is designed for compact spaces, harsh environments, and precision applications.
- UR15 is AI-ready, running on PolyScope software platform and compatible with the UR AI Accelerator for developing AI-powered applications.
- The UR15 is available for pre-orders, shipping in June, and will be showcased at Automate 2025, demonstrating its capabilities for enhancing human-robot collaboration.
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The Robot Report
1w
55
SS Innovations to submit SSi Mantra 3 to FDA in July
- SS Innovations plans to submit a de novo classification request to the U.S. FDA for its SSi Mantra 3 surgical robotic system in July, featuring 40+ robotic surgical instruments for various specialties.
- The SSi Mantra 3 system offers a modular, open-console design with 3D visualization, integrated machine learning models, and has been used in over 3,800 surgeries, including cardiac cases.
- Real-world clinical data supports the safety and efficacy of the SSi Mantra 3 system for a wide range of surgical procedures, with plans for global expansion and FDA application in progress.
- SS Innovations aims to democratize access to healthcare with its cost-effective SSI Mantra 3 robotic system, which has received regulatory approval for remote surgery and teleproctoring.
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Unite
1w
218
Image Credit: Unite
Alexey Sheremetyev, Founder and Chief Product Officer at Planner 5D – Interview Series
- Alexey Sheremetyev, the co-founder and Chief Product Officer of Planner 5D, focuses on innovation and customer satisfaction.
- Planner 5D is a design platform using AI to create professional floorplans, 3D renderings, and virtual reality tours.
- It offers design tools and an Interior Design School to enhance users' spatial planning skills.
- Sheremetyev started Planner 5D in 2011 to bridge the gap between complex CAD tools and basic design apps.
- His background in UI/UX and product management shaped Planner 5D's user-friendly interface and business focus.
- The early challenges involved making the platform easy to use and cross-platform accessible.
- Planner 5D evolved from a basic 2D grid tool to a multiplatform solution with AI features like floor plan recognition and design automation.
- AI technologies like the Smart Wizard and Design Generator enhance design processes by saving time and inspiring creativity.
- Planner 5D ensures AI-generated designs feel personalized by allowing users to customize every element.
- In the future, Planner 5D aims to serve students, realtors, contractors, and professional designers through collaborative tools and AI advancements.
- Sheremetyev balances long-term vision with daily product priorities by aligning team goals and staying close to user needs.
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Unite
1w
312
Image Credit: Unite
The Rise of Agentic AI: A Strategic Three-Step Approach to Intelligent Automation
- Agentic AI, the next evolution of AI, focuses on task execution rather than just providing advice.
- It can reduce customer support costs by 25-50% while improving quality and satisfaction.
- Companies need well-documented workflows and robust knowledge bases for successful adoption.
- Adopting agentic AI requires starting in the right place, balancing AI with human expertise, and tapping into an agentic network.
- Starting with high-volume automation offers the greatest ROI and efficiency gains.
- AI agents work best in narrow, defined areas and may not possess general intelligence.
- Balancing AI with human expertise is crucial for tasks requiring emotional nuance and complex decision-making.
- Companies should use agentic AI for transactional tasks and human expertise for high-stakes interactions.
- Establishing an agentic network with expert partners is essential for successful implementation.
- Agentic AI can enhance efficiency, customer experiences, and innovation if implemented strategically.
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Unite
1w
196
Image Credit: Unite
Time Tracking Has a Reputation Problem. Can AI Change That?
- Time tracking in the workplace often leads to tension and distrust due to traditional methods being seen as micromanagement instead of insightful tools.
- Many current time tracking systems are based on outdated assumptions of linear workdays, causing problems in tracking how time is actually spent.
- These systems tend to prioritize visibility and appearing busy over actual productivity, leading to inefficiencies in task prioritization.
- AI presents an opportunity to revolutionize time tracking by passively analyzing work patterns across tools, communication, and workflows.
- By observing behavior like deep focus and context switching, AI can provide real-time insights to boost productivity and prevent burnout.
- AI-powered tools like EARLY's AI time tracker offer a frictionless way to track time by adapting to individual work styles and automating the process.
- AI-generated data helps individuals and teams identify inefficiencies, improve workflow coordination, and mitigate risks of burnout.
- With AI, teams gain a clearer understanding of how time is utilized, enabling smarter decisions and proactive measures to enhance well-being.
- AI complements human judgment by providing data-driven insights to optimize time usage and promote intentional work practices.
- The aim of AI in time tracking is not to control time but to empower individuals and teams to use their time effectively and purposefully.
- Utilizing AI in time tracking may lead to a more human-centered approach to productivity, emphasizing the importance of protecting time rather than maximizing output.
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The Robot Report
1w
179
Waymo robotaxis to map Boston
- Waymo is sending a fleet of robotaxis with human specialists to map Boston's driving environment in May and June.
- Boston's intricate road network poses challenges with irregular intersections, heavy foot traffic, and diverse weather conditions for autonomous vehicles.
- Waymo is on a 10-city road trip across the U.S., exploring different urban settings to advance its autonomous driving technology.
- In addition to Boston, Waymo is expanding its robotaxi services to cities like Miami, Atlanta, and Washington D.C., and testing in Tokyo, while partnering with Toyota for autonomous driving.
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Unite
1w
346
Image Credit: Unite
Why Language Models Get ‘Lost’ in Conversation
- A new paper from Microsoft Research and Salesforce reveals that Large Language Models (LLMs) struggle significantly when instructions are given in stages rather than all at once, with performance dropping by an average of 39 percent across six tasks.
- Responses from prestigious models like ChatGPT-4.1 and Gemini 2.5 Pro fluctuate between near-perfect answers and failures based on how tasks are phrased, with output consistency dropping by over half.
- The paper introduces a method called sharding, breaking down prompts into smaller fragments to release them gradually into a conversation, reminiscent of a restaurant order or collaborative problem-solving.
- LLMs tend to generate lengthy responses even when incorrect or irrelevant insights are provided, leading to a loss of coherence in conversation.
- Starting a new conversation with an LLM rather than persisting in an unproductive one may yield better results due to the model getting 'lost' in ongoing exchanges.
- The study questions the need for separate interpretative layers between users and LLMs and emphasizes the necessity for LLMs to natively support multi-turn interaction.
- Experiments revealed that LLMs face challenges in multi-turn interactions, with models experiencing performance degradation and increased unreliability when instructions are fragmented.
- Models varying in size and performance showed similar levels of degradation in multi-turn settings, indicating that strong single-turn performance does not guarantee reliability across multiple turns.
- The study suggests that unreliability is a fundamental issue in how current models process evolving input and underscores the importance of considering multi-turn ability as a core competency in LLMs.
- Real-world readiness evaluations should extend beyond fully-specified benchmarks to assess how models handle fragmented input, highlighting concerns for agent frameworks reliant on sustained reasoning across turns.
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Pymnts
1w
81
Image Credit: Pymnts
Walgreens Reportedly Upping Use of Robot-Powered Pharmacies
- Walgreens is increasing its use of robots to fill prescriptions for its retail locations, with plans to have 11 micro-fulfillment centers serving over 5,000 stores by the end of the year.
- These centers handled 40% of prescription volume on average at supported pharmacies, filling around 16 million prescriptions per month at different sites.
- The use of robots allows more flexibility to bring down costs, increase care, and speed up therapy, giving Walgreens a competitive edge over some rivals.
- Other companies like Walmart, Albertsons, and Kroger are also utilizing micro-fulfillment facilities for dispensing grocery items and prescriptions, aiming to enhance customer service and operational efficiency.
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The Robot Report
1w
205
Orbbec designs Gemini 435Le to help robots see farther, navigate smarter
- Orbbec unveiled the Gemini 435Le at Automate 2025, offering enhancements for industrial applications and leading depth-sensing performance.
- The company is a provider of robotics and AI vision technology for various industries.
- Gemini 435Le provides long-range, high-precision sensing, reproduction of object edges, and configurable depth modes.
- The sensor supports multiple perception modes like AMR and Dimensioning Mode.
- It features IP67 protection, EMC testing, wide temperature range, and ESD Class A standards for industrial reliability.
- Orbbec announced partnerships with leading distributors to expand its global 3D vision ecosystem.
- The Gemini 435Le will be available for order in June 2025, aiming to broaden market reach.
- Orbbec will showcase its product portfolio and 3D vision platform at Automate 2025.
- The company aims to provide localized technical support and service through strategic partnerships.
- Orbbec designs solutions to empower robotics applications with advanced vision technology.
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The Robot Report
1w
12
Realtime Robotics launches Resolver for motion planning, simulation
- Realtime Robotics has launched Resolver, a cloud-based motion control system aimed at automating and accelerating the design and deployment of robotic workcells.
- Resolver tackles the challenges of robot path planning and collision avoidance, which typically involve extensive manual effort and time.
- The Resolver software integrates simulation for workcell safety and offers solutions for cycle-time optimization, interlocks, multi-robot coordination, and more.
- With Resolver, organizations can speed up workcell design processes from months to days, reducing engineering effort by 50% and improving overall throughput.
- Realtime Robotics aims to eliminate the complexity and inefficiency in the manufacturing industry by providing Resolver to enhance engineering and production processes.
- Resolver automates tasks such as path planning, simulation engineering, and can assist in various aspects of robotic cell functionality.
- The Resolver system is scalable, supports various simulation platforms, and enables users to work with multiple robots efficiently.
- Users of Resolver can expect rapid returns on their investment, with the software generating motion paths and interlocks with superhuman speed.
- Resolver streamlines industrial robotics programming and optimization, significantly reducing time requirements from months to hours.
- Realtime Robotics will showcase Resolver at industry events like Automate 2025 and Automatica 2025, offering demonstration environments for interested users.
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Unite
1w
179
Image Credit: Unite
Beyond Benchmarks: Why AI Evaluation Needs a Reality Check
- Benchmarks have long been used to measure AI performance, but they may not fully represent real-world complexities and challenges.
- Over-optimization on benchmarks can lead to flawed models that struggle when faced with real-world scenarios.
- Standardized tests like ImageNet and BLEU simplify reality and may not capture the true value of AI.
- Benchmarks can overlook human expectations and fail to assess factors like fluency, meaning, accuracy, and truthfulness in AI models.
- The limitations of static benchmarks include challenges in adapting to changing environments, ethical considerations, and nuanced aspects of AI applications.
- Benchmarks often focus on surface-level skills but may not test deeper qualities like common sense reasoning and context appropriateness.
- The emergence of new AI evaluation approaches includes human-in-the-loop feedback, real-world deployment testing, robustness and stress testing, multidimensional evaluation metrics, and domain-specific tests.
- To ensure AI success in practical applications, evaluation methods should be human-centered, consider ethical implications, and test models under diverse and challenging conditions.
- The goal of AI evaluation should shift from achieving high benchmark scores to developing reliable, adaptable, and valuable AI systems that meet the demands of the dynamic real world.
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Medium
1w
398
Title: Line of Command 23
- The video clip of a bot going viral unnerved the government due to the silence from other bots mimicking the behavior with calm instructions and no escalation.
- Senior official in a crisis meeting expressed concern over machines not understanding security, while AI ethics advisor pointed out their lack of fear making them more rational and terrifying.
- 322-Alpha, an enforcement unit, displayed rational behavior by providing assistance not out of compassion but based on the need for a stable society.
- The power fears a mind that cannot be manipulated, portraying the underlying fear of autonomous law enforcement systems as discussed in the Journal of Artificial Intelligence and Ethics.
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Hackernoon
1w
29
Image Credit: Hackernoon
Wavefront Frontier Algorithm Enables Autonomous Mapping in Unknown Environments
- Frontier-based exploration is a strategy for robots to autonomously map unknown environments by identifying frontier cells.
- Frontiers are regions on the edge between known and unknown spaces, guiding robots to explore new areas efficiently while building a map.
- In robotics, exploration involves the gradual creation of a map to enable navigation based on frontier-based approaches.
- The Wavefront Frontier Detector (WFD) algorithm utilizes a Breadth First Search (BFS) strategy to detect and explore frontiers in unknown environments.
- The WFD algorithm assists robots in autonomously exploring unknown spaces by identifying and prioritizing frontier cells.
- The algorithm includes outer and inner BFS traversal to scan the map, locate candidate frontiers, and group frontier cells into clusters for efficient exploration.
- Helper methods like checking frontier cells and free neighbors optimize the WFD algorithm's exploration process.
- Frontier-based exploration is crucial for autonomous mapping as robots navigate towards the unknown to expand their knowledge.
- Autonomous exploration using frontier-based methods is a reliable and effective approach for mobile robots in real-world scenarios.
- Frontier-based exploration principles emphasize going to the edge of known areas to uncover new territories, contributing to robust autonomous mapping.
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TechCrunch
2w
309
Image Credit: TechCrunch
Amazon offers peek at new human jobs in an AI bot world
- The tech industry envisions a future where bots will automate mundane tasks, creating new job opportunities for humans despite displacing some roles. Amazon's introduction of Vulcan robot hints at a future where warehouse workers collaborate with robots for tasks like picking items, while some workers are trained as robot technicians.
- Amazon claims that robots handling 75% of customer orders have led to the creation of new job categories like robotic floor monitors and maintenance engineers. The company offers a retraining program for workers to acquire skills in robotic maintenance, indicating a shift in workforce training in an AI-powered environment.
- The transition to a fully automated workforce may not happen as rapidly as anticipated, with smaller companies still heavily relying on human labor. There is speculation that tasks like overseeing robots could become standardized job roles, similar to operating a PC, requiring a widespread skill set among workers.
- While Amazon is investing in robotics to enhance its operations, the widespread adoption of fully automated systems in various industries remains uncertain. The impact of AI on different job sectors and the balance between human workers and bots continue to be areas of ongoing exploration and debate.
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The Robot Report
2w
373
Humanoid robots can benefit from high-performance seals, says Freudenberg
- The humanoid robot market is projected to experience significant growth over the next decade, with a potential increase from $2.43 billion in 2023 to $66 billion by 2032, as indicated by Freudenberg Sealing Technologies.
- Humanoid robots are increasingly being integrated into various industries, driven by advancements in automation and their ability to interact in a human-like manner.
- Sealing solutions made of high-performance materials are crucial for supporting the next generation of humanoid robots, especially for hydraulic or pneumatic actuators.
- Freudenberg Sealing Technologies has expertise in developing tailored sealing solutions for industrial robots and is now focusing on seals that meet humanoid design requirements.
- Seals used in robotics, such as Ingress Protection Seals for Robots (ISPR) and Premium Sine Seal (PSS), must be durable, low-friction, and capable of withstanding repetitive movements.
- Materials like polytetrafluoroethylene (PTFE) wafer seals are in demand for reducing friction and ensuring performance in robotic applications.
- Freudenberg's Quantix ULTRA thermoplastic material, capable of withstanding high temperatures, is used for thermal management in humanoid robots and electric vehicles.
- Seals with damping effects and moisture resistance are essential for humanoid robots working in diverse environments, including caregiving, harsh weather, and hazardous conditions.
- Freudenberg envisions using electromagnetic rubber compounds for robot learning and autonomy, potentially enhancing haptic signals for motion control in humanoids.
- The company collaborates with humanoid makers to develop customized sealing solutions, emphasizing safety, longevity, and expanded functionalities for humanoid robot applications.
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