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Multirotor drones are used across a wide range of applications today. As their roles and operating environments become more diverse, performance requirements place increasing demands on design choices. Multirotor design involves several key factors, including maneuverability, stability, payload capacity, flight duration, safety, and reliability. These factors are closely interconnected, and improving one often requires trade-offs […]

Modern militaries are steadily integrating ground robots—often called robotic combat vehicles (RCVs) or autonomous ground systems (AGS)—as force multipliers that enhance the reach, endurance, and situational awareness of human units. These platforms handle hazardous or burdensome tasks, allowing squads and platoons to operate more safely and focus on mission execution. Ukraine’s extensive use of unmanned […]

Shelf-scanning robots are autonomous systems designed to navigate store aisles, identify missing or misplaced products, and capture real-time inventory data with high accuracy. By using cameras, sensors, and intelligent software, these robots help retailers maintain on-shelf availability, reduce manual auditing work, and improve overall store efficiency. As automation continues to grow in the retail sector, […]

Encoders are sensors that measure physical movement—such as the rotation of a motor—and convert it into electrical signals. This allows us to determine how much a motor has rotated and use that information as digital input in a robot’s control system. They are essential for achieving precise motion control, especially in applications that require accurate […]

Due to the increasing use of robots in every field, the demand for robot programmers is also rising. Robot programming software company RoboDK, has launched a free online platform called RoboDK Academy, to help learners from any capacity, such as engineers, professionals, students and educators master industrial robot programming skills. The users can sign up […]

A rural primary school in Maharashtra has stepped into the future of STEM education with the launch of a Robotics and Industry 4.0 lab powered by RoboDK and SimuSoft Technologies (Pune). Supported by Bharat Forge Ltd. through its CSR initiative, the lab at Zilla Parishad School, Jalindarnagar is the first of its kind in a […]

Robot Operating System (ROS) is an open source, flexible software framework* used for building and controlling robots. Despite its name, ROS should not be confused with a traditional operating system because it runs on top of existing operating systems like Linux or Ubuntu. It does not replace an operating system; it only provides tools, conventions, […]

Designing your own PCB isn’t just about cutting costs — it’s about taking full control of your robot’s electronics. A custom board lets you integrate everything you need into one compact, reliable system, eliminating messy wiring and improving performance. While it can make your robot cheaper in the long run and if you mass produced […]

International Robot Safety Conference (IRSC) – 3-5 November 2025 – Houston, USA – https://www.automate.org/events/international-robot-safety-conference RobotWorld 2025 – 5-8 November 2025 – Goyang (KINTEX), South Korea – http://eng.robotworld.or.kr/ Get Together for Robotics 2025 – 5-6 November 2025 – Nuremberg/Erlangen, Germany – https://www.profibus.com/get-together-for-robotics/ ICRAI 2025 (11th International Conference on Robotics & Artificial Intelligence) – 19-21 December 2025 […]

Figure AI has just introduced its latest android robot, Figure 03. The new robot comes with a lot of improvements over the previous one, such as, redesigned hands including softer fingertips with improved grasp and new cameras in hands, wireless charging through electromagnetic induction, faster actuators with improved torque density, improved audio system, improved camera […]

A humanoid robot has several main systems working together which are: Sensors: Cameras, microphones, tactile sensors, motion sensors and more…. AI: Through artificial intelligence, decision making, computer vision, navigation, motion planning, interactions with surroundings and all other systems are coordinated and managed. Power Supply and Management Systems: Optimization of energy usage and efficient usage of […]

Two of the most critical success factors in the manufacturing industry are time to deployment and cycle time. Despite this, the design and deployment of robotic workcells has long remained a surprisingly manual and time-consuming process. Realtime Robotics is aiming to change that with Resolver, a cloud-based optimization engine that introduces industrial-scale automation into the earliest stages of robotic system planning.

At its core, Resolver addresses some of the most persistent engineering challenges in workcell design: motion planning, robot task allocation, target sequence optimization, and layout validation. Traditionally, these steps require iterative tweaking, deep domain expertise, and a significant investment of time and resources to get right and be able to deliver on time. Resolver replaces that trial-and-error approach with intelligent automation. As it runs, the engine explores thousands of potential options to deliver an increasingly optimized result; one that balances performance, accuracy, and feasibility – and does so within minutes.

This kind of computational efficiency opens new doors for how teams approach the design process. Rather than being limited by what’s manually achievable, engineers can let Resolver handle the mechanical complexity and instead focus on higher-level goals such as throughput, safety, or flexibility. Resolver adapts to a range of use cases, from greenfield line builds to individual cell retrofits, making it broadly applicable across industries and production scales. And it can do all this in mere minutes – faster than what’s humanly possible.

Recent integrations with leading 3D simulation platforms including Siemens Process Simulate, Visual Components, and Mitsubishi Electric’s MELSOFT Gemini, enable users to access Resolver’s capabilities directly within their preferred simulation environments. This embedded approach reflects a broader shift toward interoperability and hybrid workflows in advanced manufacturing, where simulation, design, and optimization are increasingly converging.

Early adopters, particularly in automotive manufacturing, have already reported cycle time improvements ranging from 15% to 40%, along with faster deployments and fewer errors. These outcomes suggest that Resolver is not just a point solution, but part of a larger movement toward AI-assisted engineering. A future where decision-making is augmented, not replaced, by automation.

Post provided by: Realtime Robotics – www.rtr.ai

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Copying or republishing of our content is not allowed without written permission from us. We make dated records and keep originals of our posts and images. The content in this website may be incorrect or incomplete. User assumes all liability and risk as a result of using this website. Also see our Terms page.

Weed that grow among crops is a problem in many ways since humanity started agriculture. Weeds compete with crops for water, soil nutrients, sunlight. They can host pets, harbor diseases. They cost labor to remove them, either manually or chemically. This also increases overall costs and chemical removal may mean environmental impacts. Overall, weeds cause lower crop yield, decrease in quality, and higher costs. Considering all these, it is a very critical task, to remove them as efficiently as possible, which is where robots can be very useful and bring the costs down.

A robot that is developed in Spain, which is called “The GreenBot” aims to undertake such task. The robot is still in development stage but according to the press release provided by the team, it completed its successful field trials. The robot is developed by GMV (www.gmv.com), and a consortium made of University of Seville’s AGR-278 “Smart Biosystems Laboratory” research group, GMV, TEPRO, PIONEER HiBred Spain SL, and Cooperativas Agroalimentarias de Andalucía, where each participant undertook tasks belonging to different disciplines. The collaboration was initially scheduled to continue for 21 months, which concluded end of June, 2025.

The robot is basically a robotic vehicle and a robotic arm, equipped with AI, autonomous navigation and machine vision technologies, which are all essential to accurately identify and treat weeds such as the ones that grow near almond, citrus and olive trees.

During field tests, the robot effectively completed its tasks under different light, soil and plant combinations. Detection of smaller weeds under shade however, still remains a challenge, which the team plans to tackle by training the model with further data. The robot operates in real time, with an inference frequency of 1 second per image. This eliminated the need of using external servers, and enabled seamless integration between perception, navigation and application. The robot runs with the popular open source operating system ROS2 (Robot Operating System).

The robot basically works by approaching the tree, encircling the trunk by its robotic arm, and while further movement of the robot body (basically the vehicle) still continues, the half circular arm sprays precisely targeted chemicals on identified weeds. This not only automates weed treatment but also significantly reduces the use of chemicals, and hence, the environmental impact. The weed detection core, which was developed by the University of Seville, can identify position, species and dimensions of weeds within a tolerance of 2 cm.

The project was funded by grants for European Innovation Partnership (EIP) Operational Groups, within the framework of Rural Development Program of Andalusia, which operates under Spanish Ministry of Agriculture.

The project specific details in this post were obtained from a press release shared by Ariadne Comunicación (www.ariadne.es), who handles press communications for GMV (www.gmv.com), the maker of the robot.

Post By: A. Tuter

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Terms of use:
Copying or republishing of our content is not allowed without written permission from us. We make dated records and keep originals of our posts and images. The content in this website may be incorrect or incomplete. User assumes all liability and risk as a result of using this website. Also see our Terms page.

Solo content creators often face the choice of either recording from a stationary camera or having to ask help from someone who needs to hold the camera. With this robotic tripod system called Roll Cam Robotic Cameraman, this problem seems to be solved to some extent. The system makes the tripod follow whatever needs to be recorded or live-streamed autonomously by using LIDAR and computer vision and can work on different tripods. In the video below it also mentions that the wheels were designed to absorb small vibrations for smooth recording. It comes with multiple recording modes as well. The kit comes with a maker SDK for C++ developers to customize its features further. The project is currently in the kickstarter phase.

Kickstarter Link:

https://www.kickstarter.com/projects/rollcam/roll-cam-camera-man/rewards

Video Link Here: https://www.youtube.com/watch?v=ybQoik3YIo8

Posted By: A. Tuter

Robotic Magazine’s general note for kickstarters: We occasionally publish about kickstarter projects on our site, but it does not mean that we test or endorse these projects. We publish at the request of project owners only, with whom we have no relationship, at no charge, to support development of robotics and to inform readers about new projects. You must do your own research before investing or purchasing anything. Also see our terms page.

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Terms of use:

Copying or republishing of our content is not allowed without written permission from us. The content in this website may be incorrect or incomplete. User assumes all liability and risk as a result of using this website.

Inspection robots, which are one of the most common application of autonomous mobile robots, are being deployed more often every day. In the press release below from ANYbotics of CA, USA, a system called “Data Navigator” is introduced.

Image Credit: Anybotics – www.anybotics.Com

Image Credit: Anybotics – www.anybotics.Com

ANYbotics Press Release:

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ANYbotics Launches Data Navigator: Unlocking the Value of Robotic Inspection Data for Energy, Metals, Mining, Oil & Gas Industries

Zurich, Switzerland – ANYbotics, a global leader in AI-driven robotic inspection solutions, today announced the launch of Data Navigator, a new asset management platform that empowers businesses to harness the full potential of inspection data. Data Navigator transforms data collected by ANYmal robots into actionable insights, providing a comprehensive view of asset health and enabling preventive maintenance strategies that minimize downtime and optimize operations.

In industries like Energy, Metals, Mining, Oil & Gas, where asset integrity is paramount, Data Navigator offers a critical advantage. By centralizing multiple key asset condition data types, such as thermal, acoustic, visual, and gas readings, the platform simplifies asset health assessments and provides trend monitoring for preventive maintenance. This allows companies to predict potential failures before they occur, saving significant time and resources.

Data Navigator’s intuitive interface requires no specialized robotics expertise, ensuring broad accessibility across teams. Its flexible deployment options, including on-premise (local and air-gapped—no internet required) and cloud, seamlessly integrate with existing IT infrastructure while maintaining robust data security. Data Navigator enables rapid validation of ANYmal deployments, providing immediate asset insights from robotic inspection data. The solution is ready to use out-of-the-box and can integrate with enterprise systems like SAP and IBM when required.

“Robotic inspection offers maximum value when the resulting data is readily available and actionable to those who need it most: the maintenance and reliability teams responsible for asset management and critical infrastructure,” says Péter Fankhauser, co-founder and CEO of ANYbotics. “Data Navigator is the key to unlocking that value, providing seamless access to asset health insights generated by ANYmal robots. Data Navigator empowers teams to monitor trends and make informed decisions, optimize maintenance schedules, and ultimately ensure continued plant uptime and the efficiency of operations.”

Key Features of Data Navigator:

• Asset-centric approach: Consolidates and centralizes access to multiple, relevant data types for a holistic understanding of asset health.
• Flexible deployment: Supports diverse infrastructure requirements with a range of flexible deployment options, while ensuring data security.
• Intuitive interface: ensures critical data is accessible to all approved users, regardless of technical expertise, requiring no specialized training.
• Ready to go: Out-of-the-box, easy-to-use solution enables users to gain immediate asset insights and a rapid path to realizing the transformative benefits of ANYmal robotic solutions. The platform can also integrate with enterprise systems as needed.
• Historical data analysis: Provides comprehensive access to historical data, enabling users to compare and identify trends around asset performance.
• Improved data access: Data-driven insights enable more effective maintenance planning and resource allocation, reducing costs and maximizing asset lifespan. 
• Increase Operational Efficiency: Access to high-frequency, objective, and repeatable data eliminates guesswork in decision-making, leading to increased operational efficiency.

Recent successful pilot programs with three leading industrial companies showcased Data Navigator’s capabilities. The platform analyzed over 2,500 ANYmal inspections in two weeks, providing valuable asset health insights. Both on-premise and cloud deployments were rapid and seamless, with on-premise integrations becoming operational within hours. Data Navigator’s intuitive design also meant that maintenance teams did not require any specialized training to use it immediately. 

Dominik Baumgartend, Maintenance Engineer, Grace, says: “Data Navigator is very intuitive and easy to use for everyone. Every team—from maintenance to electrical and mechanical —can filter and access the insights they need.”

Thorsten Piniek, VP Health and Safety, Outokumpu, says: “Data Navigator will allow us to compare historical data, see trends, and get warnings based on anomalies. This will allow us to schedule and prioritize necessary maintenance work before failures occur.”

Patrik D’Allens, Head Technical Services, DSM-Firmenich, says: “To us it was important that the data stays on our servers. We installed Data Navigator as an on-premise, air-gapped solution for data privacy, keeping data secure on-site.”

About ANYbotics

ANYbotics, a global leader in AI-driven robot inspection solutions, tackles critical industry challenges in safety, efficiency, and sustainability. Designed for the toughest industrial environments, ANYbotics’ ANYmal robots excel in autonomous operations, advanced mobility, and real-time data collection, making them ideal for tasks such as routine inspections, remote operations, or predictive maintenance. Trusted by hundreds of industry leaders in energy, power, metals, mining, and chemicals worldwide, ANYbotics aims to augment industrial workforces with autonomous robots, addressing labor shortages and keeping workers out of harm’s way. Supported by over $130M in funding from leading European and Silicon Valley investors and a 200-expert team, ANYbotics has been shaping the future of industrial automation since 2009 with offices in Zurich and San Francisco. To learn more about how you can use ANYmal to transform your industrial operations, visit our website at anybotics.com.

Image Credit: Anybotics – www.anybotics.Com

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Press release by: ANYbotics